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+---
+title: "Gamma-Count na análise de dados de contagem"
+author: "Walmes Zeviani"
+output:
+ rmarkdown::html_vignette:
+ fig_width: 6
+ fig_height: 6
+ toc: true
+ toc_dep: 3
+vignette: >
+ %\VignetteIndexEntry{Análise dos dados em Pimentel-Gomes (2009)}
+ %\VignetteEngine{knitr::rmarkdown}
+ %\VignetteEncoding{UTF-8}
+---
+
+<style type="text/css">
+body, td, caption {
+ font-family: "Palatino Linotype", "Book Antiqua", Palatino, serif;
+ background-color: white;
+ font-size: 16px;
+}
+
+tt, code, pre {
+ font-family: "Inconsolata", "Andale Mono", monospace;
+}
+
+code {
+ font-size: 16px;
+}
+
+pre code {
+ font-size: 14px;
+}
+
+pre:not([class]) code {
+ background-color: #92BFB1;
+}
+pre, code {
+ background-color: #62BFB1;
+ border-radius: 3px;
+ color: #333;
+}
+
+/* R output */
+pre:not([class]) code {
+ background-color: #D4D4D4;
+}
+pre:not([class]), code {
+ background-color: #D4D4D4;
+}
+
+/* R input */
+pre, code {
+ border-radius: 3px;
+ background-color: #EDEDED;
+ color: #333;
+}
+
+img {
+ max-width: 100% !important;
+ display: block;
+ margin: auto;
+}
+
+.MathJax {
+ font-size: 80% !important;
+}
+
+</style>
+
+```{r setup, include=FALSE}
+library(knitr)
+
+opts_chunk$set(
+ dev.args=list(family="Palatino"))
+
+options(width=68)
+
+```
+
+****
+## Gamma-Count
+
+```{r, message=FALSE, error=FALSE, results="hide"}
+##----------------------------------------------------------------------
+## Carrega pacotes.
+
+library(lattice)
+library(latticeExtra)
+library(plyr)
+library(bbmle)
+library(corrplot)
+library(car)
+library(multcomp)
+library(doBy)
+
+```
+
+```{r, eval=FALSE}
+##----------------------------------------------------------------------
+## Função de probabilidade da Gamma-Count.
+
+dgcount <- function(y, alpha, beta, offset=1){
+ pgamma(offset, alpha*y, alpha*beta)-
+ pgamma(offset, alpha*y+alpha, alpha*beta)
+}
+
+y <- 0:30
+pP <- dpois(y, lambda=5)
+pGC <- dgcount(y, alpha=1, beta=5)
+
+plot(pP~y, type="h")
+points(pGC~c(y+0.2), type="h", col=2)
+
+```
+
+```{r, eval=FALSE}
+##----------------------------------------------------------------------
+## Explorando a distribuição de probabilidades.
+
+library(rpanel)
+
+draw <- function(input){
+ with(input,
+ {
+ ebeta <- exp(beta)
+ ealpha <- exp(alpha)
+ pP <- dpois(y, lambda=ebeta*off)
+ pGC <- dgcount(y, alpha=ealpha, beta=ebeta, offset=off)
+ plot(pP~y, type="h", ylim=c(0, max(c(pGC, pP))))
+ points(pGC~c(y+0.2), type="h", col=2)
+ m <- sum(y*pGC)
+ abline(v=ebeta*off, lty=2)
+ abline(v=m, col=2, lty=2)
+ })
+ return(input)
+}
+
+panel <- rp.control(y=0:100)
+rp.slider(panel, variable=alpha, from=-5, to=5, initval=0,
+ showvalue=TRUE, resolution=0.1, action=draw)
+rp.slider(panel, variable=beta, from=-5, to=8, initval=3,
+ showvalue=TRUE, resolution=0.1, action=draw)
+rp.doublebutton(panel, variable=off, range=c(0, 3), initval=1,
+ showvalue=TRUE, step=0.1, action=draw)
+
+```
+
+****
+## Reprodução de nematóides em cultivo de soja
+
+Nesse conjunto de dados, a contagem tem um *offset* que precisa ser
+considerado.
+
+### Análise exploratória
+
+```{r}
+##----------------------------------------------------------------------
+## Carrega os dados.
+
+nematodeSoybean1 <- read.table(
+ "nematodeSoybean1.csv",
+ header=TRUE, sep=";")
+nematodeSoybean1$count <- with(nematodeSoybean1, count1+count2)
+str(nematodeSoybean1)
+
+##----------------------------------------------------------------------
+
+xyplot(count1+count2~log2(inipop)|factor(das),
+ data=nematodeSoybean1,
+ type=c("p", "smooth"), jitter.x=TRUE,
+ ylab=expression(Nematodes~by~unit~volume),
+ xlab=expression(Initial~nematode~density))
+
+xyplot(count~log2(inipop)|factor(das), data=nematodeSoybean1,
+ type=c("p", "smooth"), jitter.x=TRUE,
+ ylab=expression(Nematodes~by~unit~volume),
+ xlab=expression(Initial~nematode~density))
+
+xyplot(count/(2*volume)~log2(inipop)|factor(das), data=nematodeSoybean1,
+ type=c("p", "smooth"), jitter.x=TRUE,
+ ylab=expression(Nematodes~by~unit~volume),
+ xlab=expression(Initial~nematode~density))
+
+##----------------------------------------------------------------------
+## Relação média-variância.
+
+da <- subset(nematodeSoybean1, inipop>0)
+
+mv <- ddply(.data=da,
+ .variables=.(inipop, das),
+ .fun=summarise,
+ m=mean(count, na.rm=TRUE),
+ v=var(count, na.rm=TRUE))
+
+xyplot(v~m, data=mv, scales="free", type=c("p", "r"))+
+ layer(panel.abline(a=0, b=1, lty=2))
+
+```
+
+### Inclusão de offset no modelo Gamma-Count
+
+```{r}
+##----------------------------------------------------------------------
+## Simulando um conjunto de dados para ver como acomodar o offset na
+## Gamma-Count.
+
+y <- rpois(100, lambda=5) ## Contagem.
+o <- rep(2, length(y)) ## Offset.
+
+n0 <- glm(y~1, family=poisson)
+## predict(n0, type="response"); exp(coef(n0))
+## logLik(n0)
+
+n1 <- glm(y~offset(log(o))+1, family=poisson)
+## predict(n1, type="response"); exp(coef(n1))*o
+## logLik(n1)
+
+ll <- function(theta, y, X, offset){
+ ## theta: parameter vector;
+ ## theta[1]: dispersion parameter;
+ ## theta[-1]: location parameters;
+ ## y: response vector (counts);
+ ## X: model matrix;
+ ## offset: upper limit of the intergral;
+ eXb <- exp(X%*%theta[-1])
+ alpha <- exp(theta[1])
+ alpha.eXb <- alpha*eXb
+ alpha.y <- alpha*y
+ ## returns the log-likelihood.
+ -sum(log(
+ pgamma(offset, alpha.y, alpha.eXb)-
+ pgamma(offset, alpha.y+alpha, alpha.eXb)
+ ))
+}
+
+start <- c(alpha=1, lambda=coef(n1))
+parnames(ll) <- names(start)
+L <- list(y=y, offset=o, X=cbind(rep(1, length(y))))
+
+n2 <- mle2(ll, start=start, fixed=list(alpha=0),
+ vecpar=TRUE, data=L)
+
+n3 <- mle2(ll, start=start,
+ vecpar=TRUE, data=L)
+
+## Log-verossimilhaça.
+cbind(logLik(n0), logLik(n1), logLik(n2), logLik(n3))
+
+## Estimativas dos parâmetros.
+cbind(coef(n0), coef(n1), coef(n2)[-1], coef(n3)[-1])
+
+```
+
+### Ajuste dos modelos
+
+```{r}
+##----------------------------------------------------------------------
+## Ajuste do Poisson e Quasi-Poisson.
+
+da <- transform(da, IP=factor(inipop), DAS=factor(das))
+
+## Modelo Poisson para ter referência.
+m0 <- glm(count~offset(log(volume))+IP*DAS, data=da, family=poisson)
+summary(m0)
+anova(m0, test="Chisq")
+
+## Modelo quasi Poisson para usar os valores iniciais.
+## m1 <- glm(count/volume~IP*DAS, data=da, family=quasipoisson)
+m1 <- glm(count~offset(log(volume))+IP*DAS,
+ data=da, family=quasipoisson)
+summary(m1)
+anova(m1, test="F")
+
+par(mfrow=c(2,2)); plot(m1); layout(1)
+cbind(coef(m0), coef(m1))
+
+##----------------------------------------------------------------------
+## Ajuste do Gamma-Count.
+
+start <- c("alpha"=log(1), coef(m0))
+parnames(ll) <- names(start)
+
+## y <- with(da, count/vol)
+y <- with(da, count/volume)
+X <- model.matrix(~IP*DAS, data=da)
+
+L <- with(da,
+ list(y=count, offset=volume,
+ X=model.matrix(~IP*DAS)))
+
+m2 <- mle2(ll, start=start, fixed=list(alpha=0),
+ data=L, vecpar=TRUE)
+
+m3 <- mle2(ll, start=start,
+ data=L, vecpar=TRUE)
+
+```
+
+### Comparação dos ajustes
+
+```{r}
+##----------------------------------------------------------------------
+
+## Log-verossimilhaça.
+cbind(logLik(m0), logLik(m1), logLik(m2), logLik(m3))
+
+## Estimativas dos parâmetros.
+cbind(coef(m0), coef(m1), coef(m2)[-1], coef(m3)[-1])
+
+## Estimativa do parâmetro de dispersão.
+exp(coef(m3)[1])
+
+## Perfil de log-verossmilhança.
+plot(profile(m3, which=1))
+
+## Teste para o parâmetro de dispersão.
+anova(m3, m2)
+
+## Teste para interação (Wald).
+a <- c(0, attr(model.matrix(m0), "assign"))
+ai <- a==3
+L <- t(replicate(sum(ai), rbind(coef(m3)*0), simplify="matrix"))
+L[,ai] <- diag(sum(ai))
+
+## Teste de Wald explicito.
+## t(L%*%coef(m3))%*%
+## solve(L%*%vcov(m3)%*%t(L))%*%
+## (L%*%coef(m3))
+crossprod(L%*%coef(m3), solve(L%*%vcov(m3)%*%t(L), L%*%coef(m3)))
+
+## Teste de Wald para interação (poderia ser LRT, claro).
+linearHypothesis(model=m0, ## É necessário um objeto glm.
+ hypothesis.matrix=L,
+ vcov.=vcov(m3),
+ coef.=coef(m3))
+
+## Teste pelo modelo quasi Poisson.
+anova(m1, test="Chisq")
+anova(m1, test="F")
+
+##----------------------------------------------------------------------
+## Ortogonalidade entre dispersão e locação.
+
+V <- cov2cor(vcov(m3))
+corrplot.mixed(V, upper="ellipse", col="gray50")
+dev.off()
+
+V[1,-1]
+sum(abs(V[1,-1]))
+
+```
+
+### Predição
+
+```{r}
+##----------------------------------------------------------------------
+## Predição das médias com IC.
+
+pred <- expand.grid(IP=levels(da$IP),
+ DAS=levels(da$DAS),
+ volume=100,
+ KEEP.OUT.ATTRS=FALSE)
+pred <- list(pois=pred, quasi=pred, cg=pred)
+
+## Quantil normal.
+qn <- qnorm(0.975)*c(lwr=-1, fit=0, upr=1)
+
+## Preditos pela Poisson.
+aux <- predict(m0, newdata=pred$pois, se.fit=TRUE)
+aux <- exp(aux$fit+outer(aux$se.fit, qn, FUN="*"))
+pred$pois <- cbind(pred$pois, aux)
+str(pred$pois)
+
+aux <- predict(m1, newdata=pred$quasi, se.fit=TRUE)
+aux <- exp(aux$fit+outer(aux$se.fit, qn, FUN="*"))
+pred$quasi <- cbind(pred$quasi, aux)
+
+alpha <- coef(m3)[1] ## Locação.
+theta <- coef(m3)[-1] ## Dispersão.
+
+## Preditor linear.
+X <- model.matrix(~IP*DAS, data=pred$cg)
+pred$cg$eta <- c(X%*%theta)
+
+## Matrix de covariância completa.
+V <- vcov(m3)
+
+## Marginal em theta.
+Vm <- V[-1,-1]
+
+## Condicional.
+Vc <- V[-1,-1]-V[-1,1]%*%solve(V[1,1])%*%V[1,-1]
+
+max(abs(Vm-Vc))
+
+## Preditos pela Gamma-count.
+U <- chol(Vm)
+aux <- sqrt(apply(X%*%t(U), MARGIN=1,
+ FUN=function(x){ sum(x^2) }))
+
+## Para calcular a média de uma Gamma-Count pelo preditor linear.
+eta2mean <- function(eta, offset, alpha, tol=1e-5){
+ stopifnot(length(eta)==1L)
+ stopifnot(length(offset)==1L)
+ stopifnot(length(alpha)==1L)
+ change <- 1
+ S <- 0; x <- 1; p <- 1
+ while (p>tol){
+ p <- pgamma(offset,
+ shape=exp(alpha)*x,
+ rate=exp(alpha)*exp(eta))
+ S <- S+p
+ x <- x+1
+ }
+ return(S)
+}
+
+aux <- pred$cg$eta+outer(aux, qn, FUN="*")
+aux <- apply(aux, MARGIN=2,
+ FUN=function(col){
+ sapply(col, FUN=eta2mean,
+ offset=pred$cg$volume[1], alpha=alpha)
+ })
+pred$cg <- cbind(pred$cg, aux)
+
+##----------------------------------------------------------------------
+
+pred <- ldply(pred, .id="modelo")
+pred <- arrange(pred, DAS, IP, modelo)
+str(pred)
+
+source("http://git.leg.ufpr.br/leg/legTools/raw/devel/R/panel.segplot.by.R")
+
+segplot(IP~lwr+upr|DAS, centers=fit, data=pred,
+ draw=FALSE, scales=list(x="free"),
+ panel=panel.segplot.by, groups=pred$modelo, f=0.1,
+ pch=pred$modelo, layout=c(1, NA), as.table=TRUE,
+ key=list(type="o", divide=1,
+ lines=list(pch=1:nlevels(pred$modelo), lty=1, col=1),
+ text=list(c("Poisson", "Quasi-Poisson",
+ "Gamma-Count"))))
+
+```
+
+****
+## Número de vagens viáveis em soja
+
+Nesse conjunto de dados, **o efeito de bloco pode ser aleatório**. Teria
+que implementar uma versão da Gamma-Count para acomodar termos de efeito
+aleatório.
+
+### Análise exploratória
+
+```{r}
+##----------------------------------------------------------------------
+## Carrega os dados.
+
+db <- read.table("http://www.leg.ufpr.br/~walmes/data/soja.txt",
+ header=TRUE, sep="\t", dec=",")
+names(db)[1:2] <- c("k", "a")
+db <- db[-74,c(1:3, 8, 10)]
+str(db)
+
+xyplot(nv~k|a, data=db)
+xyplot(ts~k|a, data=db)
+
+##----------------------------------------------------------------------
+## Gráfico de média-variância não é possível pois não existem repetições
+## com o mesmo preditor.
+
+```
+
+### Ajuste dos modelos
+
+```{r}
+##----------------------------------------------------------------------
+## Ajuste do Poisson e Quasi-Poisson.
+
+db <- transform(db, A=factor(a), K=factor(k))
+
+## Modelo Poisson para ter referência.
+m0 <- glm(nv~bloco+A*K, data=db, family=poisson)
+summary(m0)
+anova(m0, test="Chisq")
+
+## Modelo quasi Poisson para usar os valores iniciais.
+## m1 <- glm(count/volume~IP*DAS, data=da, family=quasipoisson)
+m1 <- update(m0, family=quasipoisson)
+summary(m1)
+anova(m1, test="F")
+
+par(mfrow=c(2,2)); plot(m1); layout(1)
+cbind(coef(m0), coef(m1))
+
+##----------------------------------------------------------------------
+## Ajuste do Gamma-Count.
+
+start <- c("alpha"=log(1), coef(m0))
+parnames(ll) <- names(start)
+
+y <- with(db, nv)
+X <- model.matrix(~bloco+A*K, data=db)
+
+L <- with(db,
+ list(y=nv, offset=1,
+ X=model.matrix(~bloco+A*K)))
+
+m2 <- mle2(ll, start=start, fixed=list(alpha=0),
+ data=L, vecpar=TRUE)
+
+m3 <- mle2(ll, start=start,
+ data=L, vecpar=TRUE)
+
+```
+
+### Comparação dos ajustes
+
+```{r}
+##----------------------------------------------------------------------
+
+## Log-verossimilhaça.
+cbind(logLik(m0), logLik(m1), logLik(m2), logLik(m3))
+
+## Estimativas dos parâmetros.
+cbind(coef(m0), coef(m1), coef(m2)[-1], coef(m3)[-1])
+
+## Estimativa do parâmetro de dispersão.
+exp(coef(m3)[1])
+
+## Perfil de log-verossmilhança.
+plot(profile(m3, which=1))
+
+## Teste para o parâmetro de dispersão.
+anova(m3, m2)
+
+## Teste para interação (Wald).
+a <- c(0, attr(model.matrix(m0), "assign"))
+ai <- a==4
+L <- t(replicate(sum(ai), rbind(coef(m3)*0), simplify="matrix"))
+L[,ai] <- diag(sum(ai))
+
+## Teste de Wald explicito.
+## t(L%*%coef(m3))%*%
+## solve(L%*%vcov(m3)%*%t(L))%*%
+## (L%*%coef(m3))
+crossprod(L%*%coef(m3), solve(L%*%vcov(m3)%*%t(L), L%*%coef(m3)))
+
+## Teste de Wald para interação (poderia ser LRT, claro).
+linearHypothesis(model=m0, ## É necessário um objeto glm.
+ hypothesis.matrix=L,
+ vcov.=vcov(m3),
+ coef.=coef(m3))
+
+## Teste pelo modelo quasi Poisson.
+anova(m1, test="Chisq")
+anova(m1, test="F")
+
+##----------------------------------------------------------------------
+## Ortogonalidade entre dispersão e locação.
+
+V <- vcov(m3)
+corrplot.mixed(V, upper="ellipse", col="gray50")
+dev.off()
+
+V[1,-1]
+sum(abs(V[1,-1]))
+
+```
+
+### Predição
+
+```{r}
+##----------------------------------------------------------------------
+## Predição das médias com IC.
+
+pred <- expand.grid(A=levels(db$A),
+ K=levels(db$K),
+ bloco=factor("I", levels=levels(db$bloco)),
+ KEEP.OUT.ATTRS=FALSE)
+pred <- list(pois=pred, quasi=pred, cg=pred)
+
+## Quantil normal.
+qn <- qnorm(0.975)*c(lwr=-1, fit=0, upr=1)
+
+## Preditor linear que considera o efeito médio dos blocos.
+X <- LSmatrix(m0, effect=c("A", "K"))
+
+## Preditos pela Poisson.
+## aux <- predict(m0, newdata=pred$pois, se.fit=TRUE)
+## aux <- exp(aux$fit+outer(aux$se.fit, qn, FUN="*"))
+## pred$pois <- cbind(pred$pois, aux)
+aux <- confint(glht(m0, linfct=X), calpha=univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$pois <- cbind(pred$pois, exp(aux))
+
+## aux <- predict(m1, newdata=pred$quasi, se.fit=TRUE)
+## aux <- exp(aux$fit+outer(aux$se.fit, qn, FUN="*"))
+## pred$quasi <- cbind(pred$quasi, aux)
+aux <- confint(glht(m1, linfct=X), calpha=univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$quasi <- cbind(pred$quasi, exp(aux))
+
+alpha <- coef(m3)[1] ## Locação.
+theta <- coef(m3)[-1] ## Dispersão.
+
+## Preditor linear.
+pred$cg$eta <- c(X%*%theta)
+
+## Matrix de covariância completa.
+V <- vcov(m3)
+
+## Marginal em theta.
+Vm <- V[-1,-1]
+
+## Condicional.
+Vc <- V[-1,-1]-V[-1,1]%*%solve(V[1,1])%*%V[1,-1]
+
+max(abs(Vm-Vc))
+
+## Preditos pela Gamma-count.
+U <- chol(Vm)
+aux <- sqrt(apply(X%*%t(U), MARGIN=1,
+ FUN=function(x){ sum(x^2) }))
+
+aux <- pred$cg$eta+outer(aux, qn, FUN="*")
+aux <- apply(aux, MARGIN=2,
+ FUN=function(col){
+ sapply(col, FUN=eta2mean,
+ offset=1, alpha=alpha)
+ })
+pred$cg <- cbind(pred$cg, aux)
+
+##----------------------------------------------------------------------
+
+pred <- ldply(pred, .id="modelo")
+pred <- arrange(pred, A, K, modelo)
+str(pred)
+
+xyplot(nv~K|A, data=db, layout=c(NA, 1), as.table=TRUE,
+ col=1, cex=0.7, pch=19)+
+ as.layer(
+ segplot(K~lwr+upr|A, centers=fit, data=pred,
+ draw=FALSE, horizontal=FALSE, ## scales=list(x="free"),
+ panel=panel.segplot.by, groups=pred$modelo, f=0.15,
+ pch=pred$modelo, layout=c(NA, 1), as.table=TRUE,
+ key=list(type="o", divide=1,
+ lines=list(pch=1:nlevels(pred$modelo),
+ lty=1, col=1),
+ text=list(c("Poisson", "Quasi-Poisson",
+ "Gamma-Count"))))
+ )
+
+```
+
+## Ocorrência de mosca branca
+
+<http://www.leg.ufpr.br/~walmes/data/ninfas.txt>
+
+### Análise exploratória
+
+```{r}
+##----------------------------------------------------------------------
+## Análise exploratória.
+
+dc <- read.table("moscaBranca.txt", header=TRUE, sep="\t")
+dc <- transform(dc,
+ data=as.Date(dc$data),
+ bloc=factor(bloc),
+ tot=inf+med+sup,
+ off=100)
+dc$aval <- with(dc, c(data-min(data)))
+dc$Aval <- factor(dc$aval)
+names(dc)[2:3] <- c("Vari","Bloc")
+dc <- droplevels(subset(dc, grepl("BRS", x=Vari)))
+str(dc)
+
+## xyplot(sup+med+inf~data, groups=Vari, outer=TRUE, data=dc)
+xyplot(tot~data|Vari, data=dc)
+
+```
+
+### Ajuste dos modelos
+
+```{r}
+##----------------------------------------------------------------------
+## Ajuste do Poisson e Quasi-Poisson.
+
+## IMPORTANT: Foi usado um offset de 100 por problemas de
+## over/underflow. O problema não é com a Poisson mas com a
+## Gamma-Count. Todas as análises consideram um offset de 100, portanto,
+## permanecem comparáveis e igualmente interpretáveis.
+
+## Modelo Poisson para ter referência.
+m0 <- glm(tot~offset(log(off))+Bloc+Vari*Aval,
+ data=dc, family=poisson)
+summary(m0)
+anova(m0, test="Chisq")
+
+## Modelo quasi Poisson para usar os valores iniciais.
+## m1 <- glm(count/volume~IP*DAS, data=da, family=quasipoisson)
+m1 <- update(m0, family=quasipoisson)
+summary(m1)
+anova(m1, test="F")
+
+par(mfrow=c(2,2)); plot(m1); layout(1)
+anova(m1, test="F")
+
+##----------------------------------------------------------------------
+## Ajuste do Gamma-Count.
+
+start <- c("alpha"=log(0.05), coef(m0))
+parnames(ll) <- names(start)
+
+y <- with(dc, tot)
+X <- model.matrix(~Bloc+Vari*Aval, data=dc)
+
+L <- with(dc, list(y=tot, offset=100, X=X))
+
+m3 <- mle2(ll, start=start,
+ data=L, vecpar=TRUE)
+## summary(m3)
+
+```
+
+### Comparação dos ajustes
+
+```{r}
+##----------------------------------------------------------------------
+
+## Log-verossimilhaça.
+cbind(logLik(m0), logLik(m1), logLik(m3))
+
+## Estimativas dos parâmetros.
+cbind(coef(m0), coef(m1), coef(m3)[-1])
+
+## Estimativa do parâmetro de dispersão.
+exp(coef(m3)[1])
+
+## Perfil de log-verossmilhança.
+plot(profile(m3, which=1))
+
+a <- c(0, attr(model.matrix(m0), "assign"))
+ai <- a==4
+L <- t(replicate(sum(ai), rbind(coef(m3)*0), simplify="matrix"))
+L[,ai] <- diag(sum(ai))
+
+## Teste de Wald explicito.
+## t(L%*%coef(m3))%*%
+## solve(L%*%vcov(m3)%*%t(L))%*%
+## (L%*%coef(m3))
+crossprod(L%*%coef(m3), solve(L%*%vcov(m3)%*%t(L), L%*%coef(m3)))
+
+## Teste de Wald para interação (poderia ser LRT, claro).
+linearHypothesis(model=m0, ## É necessário um objeto glm.
+ hypothesis.matrix=L,
+ vcov.=vcov(m3),
+ coef.=coef(m3))
+
+## Teste pelo modelo quasi Poisson.
+anova(m1, test="Chisq")
+anova(m1, test="F")
+
+##----------------------------------------------------------------------
+## Ortogonalidade entre dispersão e locação.
+
+V <- cov2cor(vcov(m3))
+corrplot.mixed(V, upper="ellipse", col="gray50")
+dev.off()
+
+```
+
+### Predição
+
+```{r}
+##----------------------------------------------------------------------
+## Predição das médias com IC.
+
+pred <- expand.grid(Vari=levels(dc$Vari),
+ Aval=unique(dc$Aval),
+ Bloc=factor("1", levels=levels(dc$Bloc)),
+ off=100,
+ KEEP.OUT.ATTRS=FALSE)
+pred <- list(pois=pred, quasi=pred, cg=pred)
+
+## Quantil normal.
+qn <- qnorm(0.975)*c(lwr=-1, fit=0, upr=1)
+
+X <- LSmatrix(lm(tot~Bloc+Vari*Aval, dc), effect=c("Vari", "Aval"))
+
+## Preditos pela Poisson.
+## aux <- predict(m0, newdata=pred$pois, se.fit=TRUE)
+## aux <- exp(aux$fit+outer(aux$se.fit, qn, FUN="*"))
+## pred$pois <- cbind(pred$pois, aux)
+aux <- confint(glht(m0, linfct=X), calpha=univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$pois <- cbind(pred$pois, 100*exp(aux))
+
+## aux <- predict(m1, newdata=pred$quasi, se.fit=TRUE)
+## aux <- exp(aux$fit+outer(aux$se.fit, qn, FUN="*"))
+## pred$quasi <- cbind(pred$quasi, aux)
+aux <- confint(glht(m1, linfct=X), calpha=univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$quasi <- cbind(pred$quasi, 100*exp(aux))
+
+alpha <- coef(m3)[1] ## Locação.
+theta <- coef(m3)[-1] ## Dispersão.
+
+## Preditor linear.
+pred$cg$eta <- c(X%*%theta)
+
+## Matrix de covariância completa.
+V <- vcov(m3)
+
+## Marginal em theta.
+Vm <- V[-1,-1]
+
+## Condicional.
+Vc <- V[-1,-1]-V[-1,1]%*%solve(V[1,1])%*%V[1,-1]
+
+max(abs(Vm-Vc))
+
+## Preditos pela Gamma-count.
+U <- chol(Vm)
+aux <- sqrt(apply(X%*%t(U), MARGIN=1,
+ FUN=function(x){ sum(x^2) }))
+
+aux <- pred$cg$eta+outer(aux, qn, FUN="*")
+aux <- apply(aux, MARGIN=2,
+ FUN=function(col){
+ sapply(col, FUN=eta2mean,
+ offset=100, alpha=alpha)
+ })
+pred$cg <- cbind(pred$cg, aux)
+
+##----------------------------------------------------------------------
+
+pred <- ldply(pred, .id="modelo")
+pred <- arrange(pred, Aval, Vari, modelo)
+str(pred)
+
+## source("http://git.leg.ufpr.br/leg/legTools/raw/devel/R/panel.segplot.by.R")
+
+xyplot(tot~Aval|Vari, data=dc, layout=c(NA, 1), as.table=TRUE,
+ col=1, cex=0.7, pch=19)+
+ as.layer(
+ segplot(Aval~lwr+upr|Vari, centers=fit, data=pred,
+ horizontal=FALSE,
+ draw=FALSE,
+ panel=panel.segplot.by, groups=pred$modelo, f=0.15,
+ pch=pred$modelo, layout=c(NA, 1), as.table=TRUE,
+ key=list(type="o", divide=1,
+ lines=list(pch=1:nlevels(pred$modelo),
+ lty=1, col=1),
+ text=list(c("Poisson", "Quasi-Poisson",
+ "Gamma-Count"))))
+ )
+
+```
+
+****
+## Produção de ovos
+
+### Análise exploratória
+
+```{r}
+##----------------------------------------------------------------------
+
+dd <- read.table("ovos.txt", header=TRUE, sep="\t")
+str(dd)
+
+ftable(xtabs(~periodo+luz+box, data=dd))
+
+## Cada box tem 6 gaiolas. Cada gaiola tem 10 aves.
+## Modelar a produção por ave dia usando o total de por gaiola em duas
+## semanas. O offset é 10*14=140.
+
+useOuterStrips(
+ xyplot(ovos~dia|luz+periodo, data=dd, jitter.x=TRUE,
+ groups=gaiola,
+ type=c("p", "smooth")))
+
+useOuterStrips(
+ xyplot(massa~dia|luz+periodo, data=dd, jitter.x=TRUE,
+ groups=gaiola,
+ type=c("p", "smooth")))
+
+## Agregar para o total quinzenal.
+dd <- aggregate(ovos~periodo+box+luz+gaiola, data=dd, FUN=sum)
+str(dd)
+
+xyplot(ovos~periodo, groups=luz, data=dd, jitter.x=TRUE,
+ ## groups=gaiola,
+ type=c("p", "smooth"))
+
+```
+
+### Ajuste dos modelos
+
+```{r}
+##----------------------------------------------------------------------
+## Ajuste do Poisson e Quasi-Poisson.
+
+## IMPORTANT: Foi usado um offset de 10*14=140.
+
+dd <- transform(dd,
+ off=10*14, ## 10 aves por gaiola, soma de 14 dias.
+ Per=factor(periodo),
+ Box=factor(box))
+names(dd)[3] <- "Luz"
+
+## WARNING: Esta sendo negligenciada a variância de gaiolas. Isso requer
+## um modelo de efeitos aleatórios que ainda não dispomos.
+
+## Modelo Poisson para ter referência.
+m0 <- glm(ovos~offset(log(off))+Per+Box+Luz,
+ data=dd, family=poisson)
+summary(m0)
+anova(m0, test="Chisq")
+
+## Modelo quasi Poisson para usar os valores iniciais.
+## m1 <- glm(count/volume~IP*DAS, data=da, family=quasipoisson)
+m1 <- update(m0, family=quasipoisson)
+summary(m1)
+anova(m1, test="F")
+
+par(mfrow=c(2,2)); plot(m1); layout(1)
+
+##----------------------------------------------------------------------
+## Ajuste do Gamma-Count.
+
+start <- c("alpha"=log(1), coef(m0))
+parnames(ll) <- names(start)
+
+y <- with(dd, ovos)
+X <- model.matrix(~Per+Box+Luz, data=dd)
+
+L <- list(y=y, offset=140, X=X)
+
+m3 <- mle2(ll, start=start,
+ data=L, vecpar=TRUE)
+## summary(m3)
+
+```
+
+### Comparação dos ajustes
+
+```{r}
+##----------------------------------------------------------------------
+
+## Log-verossimilhaça.
+cbind(logLik(m0), logLik(m1), logLik(m3))
+
+## Estimativas dos parâmetros.
+cbind(coef(m0), coef(m1), coef(m3)[-1])
+
+## Estimativa do parâmetro de dispersão.
+exp(coef(m3)[1])
+
+## Perfil de log-verossmilhança.
+plot(profile(m3, which=1))
+
+a <- c(0, attr(model.matrix(m0), "assign"))
+ai <- a==3
+L <- t(replicate(sum(ai), rbind(coef(m3)*0), simplify="matrix"))
+L[,ai] <- diag(sum(ai))
+
+## Teste de Wald explicito.
+## t(L%*%coef(m3))%*%
+## solve(L%*%vcov(m3)%*%t(L))%*%
+## (L%*%coef(m3))
+crossprod(L%*%coef(m3), solve(L%*%vcov(m3)%*%t(L), L%*%coef(m3)))
+
+## Teste de Wald para interação (poderia ser LRT, claro).
+linearHypothesis(model=m0, ## É necessário um objeto glm.
+ hypothesis.matrix=L,
+ vcov.=vcov(m3),
+ coef.=coef(m3))
+
+## Teste pelo modelo quasi Poisson.
+anova(m1, test="Chisq")
+anova(m1, test="F")
+
+##----------------------------------------------------------------------
+## Ortogonalidade entre dispersão e locação.
+
+V <- cov2cor(vcov(m3))
+corrplot.mixed(V, upper="ellipse", col="gray50")
+dev.off()
+
+```
+
+### Predição
+
+```{r}
+##----------------------------------------------------------------------
+## Predição das médias com IC.
+
+pred <- expand.grid(Per=factor(levels(dd$Per)[1],
+ levels=levels(dd$Per)),
+ Box=factor(levels(dd$Box)[1],
+ levels=levels(dd$Box)),
+ Luz=levels(dd$Luz),
+ off=10*14,
+ KEEP.OUT.ATTRS=FALSE)
+pred <- list(pois=pred, quasi=pred, cg=pred)
+
+## Quantil normal.
+qn <- qnorm(0.975)*c(lwr=-1, fit=0, upr=1)
+
+X <- LSmatrix(lm(ovos~Per+Box+Luz, dd), effect=c("Luz"))
+
+## Preditos pela Poisson.
+## aux <- predict(m0, newdata=pred$pois, se.fit=TRUE)
+## aux <- exp(aux$fit+outer(aux$se.fit, qn, FUN="*"))
+## pred$pois <- cbind(pred$pois, aux)
+aux <- confint(glht(m0, linfct=X), calpha=univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$pois <- cbind(pred$pois, 140*exp(aux))
+
+## aux <- predict(m1, newdata=pred$quasi, se.fit=TRUE)
+## aux <- exp(aux$fit+outer(aux$se.fit, qn, FUN="*"))
+## pred$quasi <- cbind(pred$quasi, aux)
+aux <- confint(glht(m1, linfct=X), calpha=univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$quasi <- cbind(pred$quasi, 140*exp(aux))
+
+alpha <- coef(m3)[1] ## Locação.
+theta <- coef(m3)[-1] ## Dispersão.
+
+## Preditor linear.
+pred$cg$eta <- c(X%*%theta)
+
+## Matrix de covariância completa.
+V <- vcov(m3)
+
+## Marginal em theta.
+Vm <- V[-1,-1]
+
+## Condicional.
+Vc <- V[-1,-1]-V[-1,1]%*%solve(V[1,1])%*%V[1,-1]
+
+max(abs(Vm-Vc))
+
+## Preditos pela Gamma-count.
+U <- chol(Vm)
+aux <- sqrt(apply(X%*%t(U), MARGIN=1,
+ FUN=function(x){ sum(x^2) }))
+
+aux <- pred$cg$eta+outer(aux, qn, FUN="*")
+aux <- apply(aux, MARGIN=2,
+ FUN=function(col){
+ sapply(col, FUN=eta2mean,
+ offset=140, alpha=alpha)
+ })
+pred$cg <- cbind(pred$cg, aux)
+
+##----------------------------------------------------------------------
+
+pred <- ldply(pred, .id="modelo")
+pred <- arrange(pred, Luz, modelo)
+str(pred)
+
+## source("http://git.leg.ufpr.br/leg/legTools/raw/devel/R/panel.segplot.by.R")
+
+segplot(Luz~lwr+upr, centers=fit, data=pred,
+ horizontal=FALSE,
+ draw=FALSE,
+ panel=panel.segplot.by, groups=pred$modelo, f=0.15,
+ pch=pred$modelo, layout=c(NA, 1), as.table=TRUE,
+ key=list(type="o", divide=1,
+ lines=list(pch=1:nlevels(pred$modelo),
+ lty=1, col=1),
+ text=list(c("Poisson", "Quasi-Poisson",
+ "Gamma-Count"))))
+
+```
+
+****
+## Capulhos no algodão em função da pressão da mosca branca
+
+<http://www.leg.ufpr.br/~walmes/data/mosca_algodao_prod.txt>
+
+### Análise exploratória
+
+```{r}
+##----------------------------------------------------------------------
+
+da <- read.table(
+ "http://www.leg.ufpr.br/~walmes/data/mosca_algodao_prod.txt",
+ header=TRUE, sep="\t")
+## da <- aggregate(ncapu~vaso+dexp, data=da, FUN=sum)
+str(da)
+
+xyplot(ncapu~dexp, data=da, jitter.x=TRUE,
+ type=c("p", "smooth"))
+
+```
+
+### Ajuste dos modelos
+
+```{r}
+##----------------------------------------------------------------------
+## Ajuste do Poisson e Quasi-Poisson.
+
+## da <- transform(da, Dexp=factor(dexp))
+da <- transform(da, dexp=dexp-mean(range(dexp)))
+
+## WARNING: Esta sendo negligenciada a variância entre vasos. Isso
+## requer um modelo de efeitos aleatórios que ainda não dispomos.
+
+## Modelo Poisson para ter referência.
+m0 <- glm(ncapu~dexp+I(dexp^2), data=da, family=poisson)
+summary(m0)
+anova(m0, test="Chisq")
+
+## Modelo quasi Poisson para usar os valores iniciais.
+m1 <- update(m0, family=quasipoisson)
+summary(m1)
+anova(m1, test="F")
+
+par(mfrow=c(2,2)); plot(m1); layout(1)
+
+##----------------------------------------------------------------------
+## Ajuste do Gamma-Count.
+
+start <- c("alpha"=log(2), coef(m0))
+parnames(ll) <- names(start)
+
+y <- with(da, ncapu)
+X <- model.matrix(m0)
+
+L <- list(y=y, offset=1, X=X)
+
+m3 <- mle2(ll, start=start,
+ data=L, vecpar=TRUE)
+summary(m3)
+
+```
+
+### Comparação dos ajustes
+
+```{r}
+##----------------------------------------------------------------------
+
+## Log-verossimilhaça.
+cbind(logLik(m0), logLik(m1), logLik(m3))
+
+## Estimativas dos parâmetros.
+cbind(coef(m0), coef(m1), coef(m3)[-1])
+
+## Estimativa do parâmetro de dispersão.
+exp(coef(m3)[1])
+
+## Perfil de log-verossmilhança.
+plot(profile(m3, which=1))
+
+a <- c(0, attr(model.matrix(m0), "assign"))
+ai <- a!=0
+L <- t(replicate(sum(ai), rbind(coef(m3)*0), simplify="matrix"))
+L[,ai] <- diag(sum(ai))
+
+## Teste de Wald explicito.
+## t(L%*%coef(m3))%*%
+## solve(L%*%vcov(m3)%*%t(L))%*%
+## (L%*%coef(m3))
+crossprod(L%*%coef(m3), solve(L%*%vcov(m3)%*%t(L), L%*%coef(m3)))
+
+## Teste de Wald para interação (poderia ser LRT, claro).
+linearHypothesis(model=m0, ## É necessário um objeto glm.
+ hypothesis.matrix=L,
+ vcov.=vcov(m3),
+ coef.=coef(m3))
+
+## Teste pelo modelo quasi Poisson.
+anova(m1, test="Chisq")
+anova(m1, test="F")
+
+##----------------------------------------------------------------------
+## Ortogonalidade entre dispersão e locação.
+
+V <- cov2cor(vcov(m3))
+corrplot.mixed(V, upper="ellipse", col="gray50")
+dev.off()
+
+```
+
+### Predição
+
+```{r}
+##----------------------------------------------------------------------
+## Predição das médias com IC.
+
+pred <- data.frame(dexp=with(da, seq(min(dexp), max(dexp), l=30)))
+pred <- list(pois=pred, quasi=pred, cg=pred)
+
+## Quantil normal.
+qn <- qnorm(0.975)*c(lwr=-1, fit=0, upr=1)
+
+X <- model.matrix(formula(m0)[-2], data=pred$cg)
+
+## Preditos pela Poisson.
+## aux <- predict(m0, newdata=pred$pois, se.fit=TRUE)
+## aux <- exp(aux$fit+outer(aux$se.fit, qn, FUN="*"))
+## pred$pois <- cbind(pred$pois, aux)
+aux <- confint(glht(m0, linfct=X), calpha=univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$pois <- cbind(pred$pois, exp(aux))
+
+## aux <- predict(m1, newdata=pred$quasi, se.fit=TRUE)
+## aux <- exp(aux$fit+outer(aux$se.fit, qn, FUN="*"))
+## pred$quasi <- cbind(pred$quasi, aux)
+aux <- confint(glht(m1, linfct=X), calpha=univariate_calpha())$confint
+colnames(aux)[1] <- "fit"
+pred$quasi <- cbind(pred$quasi, exp(aux))
+
+alpha <- coef(m3)[1] ## Locação.
+theta <- coef(m3)[-1] ## Dispersão.
+
+## Preditor linear.
+pred$cg$eta <- c(X%*%theta)
+
+## Matrix de covariância completa.
+V <- vcov(m3)
+
+## Marginal em theta.
+Vm <- V[-1,-1]
+
+## Condicional.
+Vc <- V[-1,-1]-V[-1,1]%*%solve(V[1,1])%*%V[1,-1]
+
+max(abs(Vm-Vc))
+
+## Preditos pela Gamma-count.
+U <- chol(Vm)
+aux <- sqrt(apply(X%*%t(U), MARGIN=1,
+ FUN=function(x){ sum(x^2) }))
+
+aux <- pred$cg$eta+outer(aux, qn, FUN="*")
+aux <- apply(aux, MARGIN=2,
+ FUN=function(col){
+ sapply(col, FUN=eta2mean,
+ offset=1, alpha=alpha)
+ })
+pred$cg <- cbind(pred$cg, aux)
+
+##----------------------------------------------------------------------
+
+pred <- ldply(pred, .id="modelo")
+pred <- arrange(pred, dexp)
+str(pred)
+
+source("https://raw.githubusercontent.com/walmes/wzRfun/master/R/prepanel.cbH.R")
+source("https://raw.githubusercontent.com/walmes/wzRfun/master/R/panel.cbH.R")
+
+xyplot(ncapu~dexp, data=da, jitter.x=TRUE, pch=19, col=1)+
+ as.layer(
+ under=TRUE,
+ xyplot(fit~dexp, data=pred, groups=modelo, type="l",
+ ly=pred$lwr, uy=pred$upr, cty="bands",
+ ## fill="gray90",
+ alpha=0.5,
+ prepanel=prepanel.cbH,
+ panel.groups=panel.cbH,
+ panel=panel.superpose)
+ )
+
+```
+
+
+****
+## Mais dados para se considerar
+
+* http://www.leg.ufpr.br/~walmes/data/banana_culttecido.txt
+* http://www.leg.ufpr.br/~walmes/data/frango_comportamento.txt
+* http://www.leg.ufpr.br/~walmes/data/mosca_algodao_aval.txt
diff --git a/examples/Ultimate_Gamma_Count.html b/examples/Ultimate_Gamma_Count.html
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@@ -0,0 +1,2378 @@
+<!DOCTYPE html>
+
+<html xmlns="http://www.w3.org/1999/xhtml">
+
+<head>
+
+<meta charset="utf-8">
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="generator" content="pandoc" />
+
+<meta name="author" content="Walmes Zeviani" />
+
+
+<title>Gamma-Count na análise de dados de contagem</title>
+
+
+
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+ }
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rel="stylesheet" type="text/css" />
+
+</head>
+
+<body>
+
+
+
+<div id="header">
+<h1 class="title">Gamma-Count na análise de dados de contagem</h1>
+<h4 class="author"><em>Walmes Zeviani</em></h4>
+</div>
+
+<div id="TOC">
+<ul>
+<li><a href="#gamma-count">Gamma-Count</a></li>
+<li><a href="#reproducao-de-nematoides-em-cultivo-de-soja">Reprodução de nematóides em cultivo de soja</a><ul>
+<li><a href="#analise-exploratoria">Análise exploratória</a></li>
+<li><a href="#inclusao-de-offset-no-modelo-gamma-count">Inclusão de offset no modelo Gamma-Count</a></li>
+<li><a href="#ajuste-dos-modelos">Ajuste dos modelos</a></li>
+<li><a href="#comparacao-dos-ajustes">Comparação dos ajustes</a></li>
+<li><a href="#predicao">Predição</a></li>
+</ul></li>
+<li><a href="#numero-de-vagens-viaveis-em-soja">Número de vagens viáveis em soja</a><ul>
+<li><a href="#analise-exploratoria-1">Análise exploratória</a></li>
+<li><a href="#ajuste-dos-modelos-1">Ajuste dos modelos</a></li>
+<li><a href="#comparacao-dos-ajustes-1">Comparação dos ajustes</a></li>
+<li><a href="#predicao-1">Predição</a></li>
+</ul></li>
+<li><a href="#ocorrencia-de-mosca-branca">Ocorrência de mosca branca</a><ul>
+<li><a href="#analise-exploratoria-2">Análise exploratória</a></li>
+<li><a href="#ajuste-dos-modelos-2">Ajuste dos modelos</a></li>
+<li><a href="#comparacao-dos-ajustes-2">Comparação dos ajustes</a></li>
+<li><a href="#predicao-2">Predição</a></li>
+</ul></li>
+<li><a href="#producao-de-ovos">Produção de ovos</a><ul>
+<li><a href="#analise-exploratoria-3">Análise exploratória</a></li>
+<li><a href="#ajuste-dos-modelos-3">Ajuste dos modelos</a></li>
+<li><a href="#comparacao-dos-ajustes-3">Comparação dos ajustes</a></li>
+<li><a href="#predicao-3">Predição</a></li>
+</ul></li>
+<li><a href="#capulhos-no-algodao-em-funcao-da-pressao-da-mosca-branca">Capulhos no algodão em função da pressão da mosca branca</a><ul>
+<li><a href="#analise-exploratoria-4">Análise exploratória</a></li>
+<li><a href="#ajuste-dos-modelos-4">Ajuste dos modelos</a></li>
+<li><a href="#comparacao-dos-ajustes-4">Comparação dos ajustes</a></li>
+<li><a href="#predicao-4">Predição</a></li>
+</ul></li>
+<li><a href="#mais-dados-para-se-considerar">Mais dados para se considerar</a></li>
+</ul>
+</div>
+
+<style type="text/css">
+body, td, caption {
+ font-family: "Palatino Linotype", "Book Antiqua", Palatino, serif;
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+ background-color: #62BFB1;
+ border-radius: 3px;
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+
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+pre:not([class]) code {
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+pre:not([class]), code {
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+
+.MathJax {
+ font-size: 80% !important;
+}
+
+</style>
+<hr />
+<div id="gamma-count" class="section level2">
+<h2>Gamma-Count</h2>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Carrega pacotes.
+
+<span class="kw">library</span>(lattice)
+<span class="kw">library</span>(latticeExtra)
+<span class="kw">library</span>(plyr)
+<span class="kw">library</span>(bbmle)
+<span class="kw">library</span>(corrplot)
+<span class="kw">library</span>(car)
+<span class="kw">library</span>(multcomp)
+<span class="kw">library</span>(doBy)</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Função de probabilidade da Gamma-Count.
+
+dgcount <-<span class="st"> </span>function(y, alpha, beta, <span class="dt">offset=</span><span class="dv">1</span>){
+ <span class="kw">pgamma</span>(offset, alpha*y, alpha*beta)-
+<span class="st"> </span><span class="kw">pgamma</span>(offset, alpha*y+alpha, alpha*beta)
+}
+
+y <-<span class="st"> </span><span class="dv">0</span>:<span class="dv">30</span>
+pP <-<span class="st"> </span><span class="kw">dpois</span>(y, <span class="dt">lambda=</span><span class="dv">5</span>)
+pGC <-<span class="st"> </span><span class="kw">dgcount</span>(y, <span class="dt">alpha=</span><span class="dv">1</span>, <span class="dt">beta=</span><span class="dv">5</span>)
+
+<span class="kw">plot</span>(pP~y, <span class="dt">type=</span><span class="st">"h"</span>)
+<span class="kw">points</span>(pGC~<span class="kw">c</span>(y<span class="fl">+0.2</span>), <span class="dt">type=</span><span class="st">"h"</span>, <span class="dt">col=</span><span class="dv">2</span>)</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Explorando a distribuição de probabilidades.
+
+<span class="kw">library</span>(rpanel)
+
+draw <-<span class="st"> </span>function(input){
+ <span class="kw">with</span>(input,
+ {
+ ebeta <-<span class="st"> </span><span class="kw">exp</span>(beta)
+ ealpha <-<span class="st"> </span><span class="kw">exp</span>(alpha)
+ pP <-<span class="st"> </span><span class="kw">dpois</span>(y, <span class="dt">lambda=</span>ebeta*off)
+ pGC <-<span class="st"> </span><span class="kw">dgcount</span>(y, <span class="dt">alpha=</span>ealpha, <span class="dt">beta=</span>ebeta, <span class="dt">offset=</span>off)
+ <span class="kw">plot</span>(pP~y, <span class="dt">type=</span><span class="st">"h"</span>, <span class="dt">ylim=</span><span class="kw">c</span>(<span class="dv">0</span>, <span class="kw">max</span>(<span class="kw">c</span>(pGC, pP))))
+ <span class="kw">points</span>(pGC~<span class="kw">c</span>(y<span class="fl">+0.2</span>), <span class="dt">type=</span><span class="st">"h"</span>, <span class="dt">col=</span><span class="dv">2</span>)
+ <span class="kw">abline</span>(<span class="dt">v=</span>ebeta, <span class="dt">lty=</span><span class="dv">2</span>)
+ m <-<span class="st"> </span><span class="kw">sum</span>(y*pGC)
+ <span class="kw">abline</span>(<span class="dt">v=</span>ebeta*off, <span class="dt">lty=</span><span class="dv">2</span>)
+ <span class="kw">abline</span>(<span class="dt">v=</span>m, <span class="dt">col=</span><span class="dv">2</span>, <span class="dt">lty=</span><span class="dv">2</span>)
+ })
+ <span class="kw">return</span>(input)
+}
+
+panel <-<span class="st"> </span><span class="kw">rp.control</span>(<span class="dt">y=</span><span class="dv">0</span>:<span class="dv">100</span>)
+<span class="kw">rp.slider</span>(panel, <span class="dt">variable=</span>alpha, <span class="dt">from=</span>-<span class="dv">5</span>, <span class="dt">to=</span><span class="dv">5</span>, <span class="dt">initval=</span><span class="dv">0</span>,
+ <span class="dt">showvalue=</span><span class="ot">TRUE</span>, <span class="dt">resolution=</span><span class="fl">0.1</span>, <span class="dt">action=</span>draw)
+<span class="kw">rp.slider</span>(panel, <span class="dt">variable=</span>beta, <span class="dt">from=</span>-<span class="dv">5</span>, <span class="dt">to=</span><span class="dv">8</span>, <span class="dt">initval=</span><span class="dv">3</span>,
+ <span class="dt">showvalue=</span><span class="ot">TRUE</span>, <span class="dt">resolution=</span><span class="fl">0.1</span>, <span class="dt">action=</span>draw)
+<span class="kw">rp.doublebutton</span>(panel, <span class="dt">variable=</span>off, <span class="dt">range=</span><span class="kw">c</span>(<span class="dv">0</span>, <span class="dv">3</span>), <span class="dt">initval=</span><span class="dv">1</span>,
+ <span class="dt">showvalue=</span><span class="ot">TRUE</span>, <span class="dt">step=</span><span class="fl">0.1</span>, <span class="dt">action=</span>draw)</code></pre>
+<hr />
+</div>
+<div id="reproducao-de-nematoides-em-cultivo-de-soja" class="section level2">
+<h2>Reprodução de nematóides em cultivo de soja</h2>
+<p>Nesse conjunto de dados, a contagem tem um <em>offset</em> que precisa ser considerado.</p>
+<div id="analise-exploratoria" class="section level3">
+<h3>Análise exploratória</h3>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Carrega os dados.
+
+nematodeSoybean1 <-<span class="st"> </span><span class="kw">read.table</span>(
+ <span class="st">"~/GitLab/legTools/data-raw/nematodeSoybean1.csv"</span>,
+ <span class="dt">header=</span><span class="ot">TRUE</span>, <span class="dt">sep=</span><span class="st">";"</span>)
+nematodeSoybean1$count <-<span class="st"> </span><span class="kw">with</span>(nematodeSoybean1, count1+count2)
+<span class="kw">str</span>(nematodeSoybean1)</code></pre>
+<pre><code>## 'data.frame': 60 obs. of 15 variables:
+## $ inipop : num 0 0 0 0 0 0.0625 0.0625 0.0625 0.0625 0.0625 ...
+## $ rept : int 21 22 23 24 25 21 22 23 24 25 ...
+## $ das : int 30 30 30 30 30 30 30 30 30 30 ...
+## $ upfm : num 191 168 167 207 223 ...
+## $ updm : num 75.3 69.9 73.7 85 88.9 ...
+## $ rfm : num 92.9 94.7 145.9 121.4 133.6 ...
+## $ count1 : int NA NA NA NA NA 61 101 97 72 84 ...
+## $ count2 : int NA NA NA NA NA 74 94 86 81 77 ...
+## $ volume : int NA NA NA NA NA 80 100 100 100 100 ...
+## $ finpop : int NA NA NA NA NA 10800 19500 18300 15300 16100 ...
+## $ rf : num NA NA NA NA NA ...
+## $ nemaden: num NA NA NA NA NA ...
+## $ gweight: num NA NA NA NA NA NA NA NA NA NA ...
+## $ yield : num NA NA NA NA NA NA NA NA NA NA ...
+## $ count : int NA NA NA NA NA 135 195 183 153 161 ...</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+
+<span class="kw">xyplot</span>(count1+count2~<span class="kw">log2</span>(inipop)|<span class="kw">factor</span>(das),
+ <span class="dt">data=</span>nematodeSoybean1,
+ <span class="dt">type=</span><span class="kw">c</span>(<span class="st">"p"</span>, <span class="st">"smooth"</span>), <span class="dt">jitter.x=</span><span class="ot">TRUE</span>,
+ <span class="dt">ylab=</span><span class="kw">expression</span>(Nematodes~by~unit~volume),
+ <span class="dt">xlab=</span><span class="kw">expression</span>(Initial~nematode~density))</code></pre>
+<p><img src="data:image/png;base64,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" /></p>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">xyplot</span>(count~<span class="kw">log2</span>(inipop)|<span class="kw">factor</span>(das), <span class="dt">data=</span>nematodeSoybean1,
+ <span class="dt">type=</span><span class="kw">c</span>(<span class="st">"p"</span>, <span class="st">"smooth"</span>), <span class="dt">jitter.x=</span><span class="ot">TRUE</span>,
+ <span class="dt">ylab=</span><span class="kw">expression</span>(Nematodes~by~unit~volume),
+ <span class="dt">xlab=</span><span class="kw">expression</span>(Initial~nematode~density))</code></pre>
+<p><img 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" /></p>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">xyplot</span>(count/(<span class="dv">2</span>*volume)~<span class="kw">log2</span>(inipop)|<span class="kw">factor</span>(das), <span class="dt">data=</span>nematodeSoybean1,
+ <span class="dt">type=</span><span class="kw">c</span>(<span class="st">"p"</span>, <span class="st">"smooth"</span>), <span class="dt">jitter.x=</span><span class="ot">TRUE</span>,
+ <span class="dt">ylab=</span><span class="kw">expression</span>(Nematodes~by~unit~volume),
+ <span class="dt">xlab=</span><span class="kw">expression</span>(Initial~nematode~density))</code></pre>
+<p><img 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" /></p>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Relação média-variância.
+
+da <-<span class="st"> </span><span class="kw">subset</span>(nematodeSoybean1, inipop><span class="dv">0</span>)
+
+mv <-<span class="st"> </span><span class="kw">ddply</span>(<span class="dt">.data=</span>da,
+ <span class="dt">.variables=</span>.(inipop, das),
+ <span class="dt">.fun=</span>summarise,
+ <span class="dt">m=</span><span class="kw">mean</span>(count, <span class="dt">na.rm=</span><span class="ot">TRUE</span>),
+ <span class="dt">v=</span><span class="kw">var</span>(count, <span class="dt">na.rm=</span><span class="ot">TRUE</span>))
+
+<span class="kw">xyplot</span>(v~m, <span class="dt">data=</span>mv, <span class="dt">scales=</span><span class="st">"free"</span>, <span class="dt">type=</span><span class="kw">c</span>(<span class="st">"p"</span>, <span class="st">"r"</span>))+
+<span class="st"> </span><span class="kw">layer</span>(<span class="kw">panel.abline</span>(<span class="dt">a=</span><span class="dv">0</span>, <span class="dt">b=</span><span class="dv">1</span>, <span class="dt">lty=</span><span class="dv">2</span>))</code></pre>
+<p><img 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" /></p>
+</div>
+<div id="inclusao-de-offset-no-modelo-gamma-count" class="section level3">
+<h3>Inclusão de offset no modelo Gamma-Count</h3>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Simulando um conjunto de dados para ver como acomodar o offset na
+## Gamma-Count.
+
+y <-<span class="st"> </span><span class="kw">rpois</span>(<span class="dv">100</span>, <span class="dt">lambda=</span><span class="dv">5</span>) ## Contagem.
+o <-<span class="st"> </span><span class="kw">rep</span>(<span class="dv">2</span>, <span class="kw">length</span>(y)) ## Offset.
+
+n0 <-<span class="st"> </span><span class="kw">glm</span>(y~<span class="dv">1</span>, <span class="dt">family=</span>poisson)
+## predict(n0, type="response"); exp(coef(n0))
+## logLik(n0)
+
+n1 <-<span class="st"> </span><span class="kw">glm</span>(y~<span class="kw">offset</span>(<span class="kw">log</span>(o))+<span class="dv">1</span>, <span class="dt">family=</span>poisson)
+## predict(n1, type="response"); exp(coef(n1))*o
+## logLik(n1)
+
+ll <-<span class="st"> </span>function(theta, y, X, offset){
+ ## theta: parameter vector;
+ ## theta[1]: dispersion parameter;
+ ## theta[-1]: location parameters;
+ ## y: response vector (counts);
+ ## X: model matrix;
+ ## offset: upper limit of the intergral;
+ eXb <-<span class="st"> </span><span class="kw">exp</span>(X%*%theta[-<span class="dv">1</span>])
+ alpha <-<span class="st"> </span><span class="kw">exp</span>(theta[<span class="dv">1</span>])
+ alpha.eXb <-<span class="st"> </span>alpha*eXb
+ alpha.y <-<span class="st"> </span>alpha*y
+ ## returns the log-likelihood.
+ -<span class="kw">sum</span>(<span class="kw">log</span>(
+ <span class="kw">pgamma</span>(offset, alpha.y, alpha.eXb)-
+<span class="st"> </span><span class="kw">pgamma</span>(offset, alpha.y+alpha, alpha.eXb)
+ ))
+}
+
+start <-<span class="st"> </span><span class="kw">c</span>(<span class="dt">alpha=</span><span class="dv">1</span>, <span class="dt">lambda=</span><span class="kw">coef</span>(n1))
+<span class="kw">parnames</span>(ll) <-<span class="st"> </span><span class="kw">names</span>(start)
+L <-<span class="st"> </span><span class="kw">list</span>(<span class="dt">y=</span>y, <span class="dt">offset=</span>o, <span class="dt">X=</span><span class="kw">cbind</span>(<span class="kw">rep</span>(<span class="dv">1</span>, <span class="kw">length</span>(y))))
+
+n2 <-<span class="st"> </span><span class="kw">mle2</span>(ll, <span class="dt">start=</span>start, <span class="dt">fixed=</span><span class="kw">list</span>(<span class="dt">alpha=</span><span class="dv">0</span>),
+ <span class="dt">vecpar=</span><span class="ot">TRUE</span>, <span class="dt">data=</span>L)
+
+n3 <-<span class="st"> </span><span class="kw">mle2</span>(ll, <span class="dt">start=</span>start,
+ <span class="dt">vecpar=</span><span class="ot">TRUE</span>, <span class="dt">data=</span>L)
+
+## Log-verossimilhaça.
+<span class="kw">cbind</span>(<span class="kw">logLik</span>(n0), <span class="kw">logLik</span>(n1), <span class="kw">logLik</span>(n2), <span class="kw">logLik</span>(n3))</code></pre>
+<pre><code>## [,1] [,2] [,3] [,4]
+## [1,] -217.0543 -217.0543 -217.0543 -216.9172</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Estimativas dos parâmetros.
+<span class="kw">cbind</span>(<span class="kw">coef</span>(n0), <span class="kw">coef</span>(n1), <span class="kw">coef</span>(n2)[-<span class="dv">1</span>], <span class="kw">coef</span>(n3)[-<span class="dv">1</span>])</code></pre>
+<pre><code>## [,1] [,2] [,3] [,4]
+## (Intercept) 1.60543 0.9122827 0.9122827 0.920382</code></pre>
+</div>
+<div id="ajuste-dos-modelos" class="section level3">
+<h3>Ajuste dos modelos</h3>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Ajuste do Poisson e Quasi-Poisson.
+
+da <-<span class="st"> </span><span class="kw">transform</span>(da, <span class="dt">IP=</span><span class="kw">factor</span>(inipop), <span class="dt">DAS=</span><span class="kw">factor</span>(das))
+
+## Modelo Poisson para ter referência.
+m0 <-<span class="st"> </span><span class="kw">glm</span>(count~<span class="kw">offset</span>(<span class="kw">log</span>(volume))+IP*DAS, <span class="dt">data=</span>da, <span class="dt">family=</span>poisson)
+<span class="kw">summary</span>(m0)</code></pre>
+<pre><code>##
+## Call:
+## glm(formula = count ~ offset(log(volume)) + IP * DAS, family = poisson,
+## data = da)
+##
+## Deviance Residuals:
+## Min 1Q Median 3Q Max
+## -7.7014 -1.9945 0.0103 1.2140 9.0435
+##
+## Coefficients:
+## Estimate Std. Error z value Pr(>|z|)
+## (Intercept) 0.54402 0.03477 15.645 < 2e-16 ***
+## IP0.125 0.55925 0.04328 12.923 < 2e-16 ***
+## IP0.25 -0.22355 0.05053 -4.424 9.69e-06 ***
+## IP0.5 0.06575 0.04792 1.372 0.170
+## IP1 -0.85824 0.06045 -14.198 < 2e-16 ***
+## DAS110 -1.83814 0.08659 -21.227 < 2e-16 ***
+## IP0.125:DAS110 -1.01243 0.12984 -7.798 6.30e-15 ***
+## IP0.25:DAS110 -0.04809 0.13187 -0.365 0.715
+## IP0.5:DAS110 -0.67992 0.14079 -4.829 1.37e-06 ***
+## IP1:DAS110 0.11214 0.15088 0.743 0.457
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
+##
+## (Dispersion parameter for poisson family taken to be 1)
+##
+## Null deviance: 5375.55 on 49 degrees of freedom
+## Residual deviance: 486.87 on 40 degrees of freedom
+## AIC: 800.72
+##
+## Number of Fisher Scoring iterations: 4</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">anova</span>(m0, <span class="dt">test=</span><span class="st">"Chisq"</span>)</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: poisson, link: log
+##
+## Response: count
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev Pr(>Chi)
+## NULL 49 5375.6
+## IP 4 662.9 45 4712.6 < 2.2e-16 ***
+## DAS 1 4124.8 44 587.8 < 2.2e-16 ***
+## IP:DAS 4 100.9 40 486.9 < 2.2e-16 ***
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Modelo quasi Poisson para usar os valores iniciais.
+## m1 <- glm(count/volume~IP*DAS, data=da, family=quasipoisson)
+m1 <-<span class="st"> </span><span class="kw">glm</span>(count~<span class="kw">offset</span>(<span class="kw">log</span>(volume))+IP*DAS,
+ <span class="dt">data=</span>da, <span class="dt">family=</span>quasipoisson)
+<span class="kw">summary</span>(m1)</code></pre>
+<pre><code>##
+## Call:
+## glm(formula = count ~ offset(log(volume)) + IP * DAS, family = quasipoisson,
+## data = da)
+##
+## Deviance Residuals:
+## Min 1Q Median 3Q Max
+## -7.7014 -1.9945 0.0103 1.2140 9.0435
+##
+## Coefficients:
+## Estimate Std. Error t value Pr(>|t|)
+## (Intercept) 0.54402 0.12509 4.349 9.16e-05 ***
+## IP0.125 0.55925 0.15567 3.592 0.000887 ***
+## IP0.25 -0.22355 0.18177 -1.230 0.225947
+## IP0.5 0.06575 0.17238 0.381 0.704912
+## IP1 -0.85824 0.21745 -3.947 0.000312 ***
+## DAS110 -1.83814 0.31150 -5.901 6.51e-07 ***
+## IP0.125:DAS110 -1.01243 0.46706 -2.168 0.036192 *
+## IP0.25:DAS110 -0.04809 0.47437 -0.101 0.919754
+## IP0.5:DAS110 -0.67992 0.50646 -1.343 0.187003
+## IP1:DAS110 0.11214 0.54275 0.207 0.837353
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
+##
+## (Dispersion parameter for quasipoisson family taken to be 12.94054)
+##
+## Null deviance: 5375.55 on 49 degrees of freedom
+## Residual deviance: 486.87 on 40 degrees of freedom
+## AIC: NA
+##
+## Number of Fisher Scoring iterations: 4</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">anova</span>(m1, <span class="dt">test=</span><span class="st">"F"</span>)</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: quasipoisson, link: log
+##
+## Response: count
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev F Pr(>F)
+## NULL 49 5375.6
+## IP 4 662.9 45 4712.6 12.8076 8.431e-07 ***
+## DAS 1 4124.8 44 587.8 318.7506 < 2.2e-16 ***
+## IP:DAS 4 100.9 40 486.9 1.9499 0.1209
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">par</span>(<span class="dt">mfrow=</span><span class="kw">c</span>(<span class="dv">2</span>,<span class="dv">2</span>)); <span class="kw">plot</span>(m1); <span class="kw">layout</span>(<span class="dv">1</span>)</code></pre>
+<p><img 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" /></p>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">cbind</span>(<span class="kw">coef</span>(m0), <span class="kw">coef</span>(m1))</code></pre>
+<pre><code>## [,1] [,2]
+## (Intercept) 0.54401859 0.54401859
+## IP0.125 0.55924951 0.55924951
+## IP0.25 -0.22354670 -0.22354670
+## IP0.5 0.06574698 0.06574698
+## IP1 -0.85824022 -0.85824022
+## DAS110 -1.83814249 -1.83814249
+## IP0.125:DAS110 -1.01243332 -1.01243332
+## IP0.25:DAS110 -0.04809225 -0.04809225
+## IP0.5:DAS110 -0.67991637 -0.67991637
+## IP1:DAS110 0.11214329 0.11214329</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Ajuste do Gamma-Count.
+
+start <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"alpha"</span>=<span class="kw">log</span>(<span class="dv">1</span>), <span class="kw">coef</span>(m0))
+<span class="kw">parnames</span>(ll) <-<span class="st"> </span><span class="kw">names</span>(start)
+
+## y <- with(da, count/vol)
+y <-<span class="st"> </span><span class="kw">with</span>(da, count/volume)
+X <-<span class="st"> </span><span class="kw">model.matrix</span>(~IP*DAS, <span class="dt">data=</span>da)
+
+L <-<span class="st"> </span><span class="kw">with</span>(da,
+ <span class="kw">list</span>(<span class="dt">y=</span>count, <span class="dt">offset=</span>volume,
+ <span class="dt">X=</span><span class="kw">model.matrix</span>(~IP*DAS)))
+
+m2 <-<span class="st"> </span><span class="kw">mle2</span>(ll, <span class="dt">start=</span>start, <span class="dt">fixed=</span><span class="kw">list</span>(<span class="dt">alpha=</span><span class="dv">0</span>),
+ <span class="dt">data=</span>L, <span class="dt">vecpar=</span><span class="ot">TRUE</span>)</code></pre>
+<pre><code>## Warning in mle2(ll, start = start, fixed = list(alpha = 0), data =
+## L, vecpar = TRUE): couldn't invert Hessian</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">m3 <-<span class="st"> </span><span class="kw">mle2</span>(ll, <span class="dt">start=</span>start,
+ <span class="dt">data=</span>L, <span class="dt">vecpar=</span><span class="ot">TRUE</span>)</code></pre>
+</div>
+<div id="comparacao-dos-ajustes" class="section level3">
+<h3>Comparação dos ajustes</h3>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+
+## Log-verossimilhaça.
+<span class="kw">cbind</span>(<span class="kw">logLik</span>(m0), <span class="kw">logLik</span>(m1), <span class="kw">logLik</span>(m2), <span class="kw">logLik</span>(m3))</code></pre>
+<pre><code>## [,1] [,2] [,3] [,4]
+## [1,] -390.3592 NA -390.3366 -227.2373</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Estimativas dos parâmetros.
+<span class="kw">cbind</span>(<span class="kw">coef</span>(m0), <span class="kw">coef</span>(m1), <span class="kw">coef</span>(m2)[-<span class="dv">1</span>], <span class="kw">coef</span>(m3)[-<span class="dv">1</span>])</code></pre>
+<pre><code>## [,1] [,2] [,3] [,4]
+## (Intercept) 0.54401859 0.54401859 0.54393739 0.51310439
+## IP0.125 0.55924951 0.55924951 0.55964189 0.57308855
+## IP0.25 -0.22354670 -0.22354670 -0.22366867 -0.22717158
+## IP0.5 0.06574698 0.06574698 0.06560404 0.06860458
+## IP1 -0.85824022 -0.85824022 -0.85830921 -0.89167062
+## DAS110 -1.83814249 -1.83814249 -1.83823781 -1.97733430
+## IP0.125:DAS110 -1.01243332 -1.01243332 -1.01246587 -1.09033430
+## IP0.25:DAS110 -0.04809225 -0.04809225 -0.04810883 -0.10442588
+## IP0.5:DAS110 -0.67991637 -0.67991637 -0.67992897 -0.82075570
+## IP1:DAS110 0.11214329 0.11214329 0.11213224 -0.04105420</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Estimativa do parâmetro de dispersão.
+<span class="kw">exp</span>(<span class="kw">coef</span>(m3)[<span class="dv">1</span>])</code></pre>
+<pre><code>## alpha
+## 0.08983008</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Perfil de log-verossmilhança.
+<span class="kw">plot</span>(<span class="kw">profile</span>(m3, <span class="dt">which=</span><span class="dv">1</span>))</code></pre>
+<p><img src="data:image/png;base64,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" /></p>
+<pre class="sourceCode r"><code class="sourceCode r">## Teste para o parâmetro de dispersão.
+<span class="kw">anova</span>(m3, m2)</code></pre>
+<pre><code>## Likelihood Ratio Tests
+## Model 1: m3, [ll]: alpha+(Intercept)+IP0.125+IP0.25+IP0.5+IP1+
+## DAS110+IP0.125:DAS110+IP0.25:DAS110+IP0.5:DAS110+
+## IP1:DAS110
+## Model 2: m2, [ll]: (Intercept)+IP0.125+IP0.25+IP0.5+IP1+
+## DAS110+IP0.125:DAS110+IP0.25:DAS110+IP0.5:DAS110+
+## IP1:DAS110
+## Tot Df Deviance Chisq Df Pr(>Chisq)
+## 1 11 454.47
+## 2 10 780.67 326.2 1 < 2.2e-16 ***
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Teste para interação (Wald).
+a <-<span class="st"> </span><span class="kw">c</span>(<span class="dv">0</span>, <span class="kw">attr</span>(<span class="kw">model.matrix</span>(m0), <span class="st">"assign"</span>))
+ai <-<span class="st"> </span>a==<span class="dv">3</span>
+L <-<span class="st"> </span><span class="kw">t</span>(<span class="kw">replicate</span>(<span class="kw">sum</span>(ai), <span class="kw">rbind</span>(<span class="kw">coef</span>(m3)*<span class="dv">0</span>), <span class="dt">simplify=</span><span class="st">"matrix"</span>))
+L[,ai] <-<span class="st"> </span><span class="kw">diag</span>(<span class="kw">sum</span>(ai))
+
+## Teste de Wald explicito.
+## t(L%*%coef(m3))%*%
+## solve(L%*%vcov(m3)%*%t(L))%*%
+## (L%*%coef(m3))
+<span class="kw">crossprod</span>(L%*%<span class="kw">coef</span>(m3), <span class="kw">solve</span>(L%*%<span class="kw">vcov</span>(m3)%*%<span class="kw">t</span>(L), L%*%<span class="kw">coef</span>(m3)))</code></pre>
+<pre><code>## [,1]
+## [1,] 7.85688</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Teste de Wald para interação (poderia ser LRT, claro).
+<span class="kw">linearHypothesis</span>(<span class="dt">model=</span>m0, ## É necessário um objeto glm.
+ <span class="dt">hypothesis.matrix=</span>L,
+ <span class="dt">vcov.=</span><span class="kw">vcov</span>(m3),
+ <span class="dt">coef.=</span><span class="kw">coef</span>(m3))</code></pre>
+<pre><code>## Linear hypothesis test
+##
+## Hypothesis:
+## IP0.125:DAS110 = 0
+## IP0.25:DAS110 = 0
+## IP0.5:DAS110 = 0
+## IP1:DAS110 = 0
+##
+## Model 1: restricted model
+## Model 2: count ~ offset(log(volume)) + IP * DAS
+##
+## Note: Coefficient covariance matrix supplied.
+##
+## Res.Df Df Chisq Pr(>Chisq)
+## 1 44
+## 2 40 4 7.8569 0.09696 .
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Teste pelo modelo quasi Poisson.
+<span class="kw">anova</span>(m1, <span class="dt">test=</span><span class="st">"Chisq"</span>)</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: quasipoisson, link: log
+##
+## Response: count
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev Pr(>Chi)
+## NULL 49 5375.6
+## IP 4 662.9 45 4712.6 1.998e-10 ***
+## DAS 1 4124.8 44 587.8 < 2.2e-16 ***
+## IP:DAS 4 100.9 40 486.9 0.0992 .
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">anova</span>(m1, <span class="dt">test=</span><span class="st">"F"</span>)</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: quasipoisson, link: log
+##
+## Response: count
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev F Pr(>F)
+## NULL 49 5375.6
+## IP 4 662.9 45 4712.6 12.8076 8.431e-07 ***
+## DAS 1 4124.8 44 587.8 318.7506 < 2.2e-16 ***
+## IP:DAS 4 100.9 40 486.9 1.9499 0.1209
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Ortogonalidade entre dispersão e locação.
+
+V <-<span class="st"> </span><span class="kw">cov2cor</span>(<span class="kw">vcov</span>(m3))
+<span class="kw">corrplot.mixed</span>(V, <span class="dt">upper=</span><span class="st">"ellipse"</span>, <span class="dt">col=</span><span class="st">"gray50"</span>)</code></pre>
+<p><img 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" /></p>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">dev.off</span>()</code></pre>
+<pre><code>## null device
+## 1</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">V[<span class="dv">1</span>,-<span class="dv">1</span>]</code></pre>
+<pre><code>## (Intercept) IP0.125 IP0.25 IP0.5
+## 0.067375821 -0.024481873 0.005491339 -0.004596027
+## IP1 DAS110 IP0.125:DAS110 IP0.25:DAS110
+## 0.042363354 0.120976452 0.046012475 0.033451032
+## IP0.5:DAS110 IP1:DAS110
+## 0.076770198 0.078610834</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">sum</span>(<span class="kw">abs</span>(V[<span class="dv">1</span>,-<span class="dv">1</span>]))</code></pre>
+<pre><code>## [1] 0.5001294</code></pre>
+</div>
+<div id="predicao" class="section level3">
+<h3>Predição</h3>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Predição das médias com IC.
+
+pred <-<span class="st"> </span><span class="kw">expand.grid</span>(<span class="dt">IP=</span><span class="kw">levels</span>(da$IP),
+ <span class="dt">DAS=</span><span class="kw">levels</span>(da$DAS),
+ <span class="dt">volume=</span><span class="dv">100</span>,
+ <span class="dt">KEEP.OUT.ATTRS=</span><span class="ot">FALSE</span>)
+pred <-<span class="st"> </span><span class="kw">list</span>(<span class="dt">pois=</span>pred, <span class="dt">quasi=</span>pred, <span class="dt">cg=</span>pred)
+
+## Quantil normal.
+qn <-<span class="st"> </span><span class="kw">qnorm</span>(<span class="fl">0.975</span>)*<span class="kw">c</span>(<span class="dt">lwr=</span>-<span class="dv">1</span>, <span class="dt">fit=</span><span class="dv">0</span>, <span class="dt">upr=</span><span class="dv">1</span>)
+
+## Preditos pela Poisson.
+aux <-<span class="st"> </span><span class="kw">predict</span>(m0, <span class="dt">newdata=</span>pred$pois, <span class="dt">se.fit=</span><span class="ot">TRUE</span>)
+aux <-<span class="st"> </span><span class="kw">exp</span>(aux$fit+<span class="kw">outer</span>(aux$se.fit, qn, <span class="dt">FUN=</span><span class="st">"*"</span>))
+pred$pois <-<span class="st"> </span><span class="kw">cbind</span>(pred$pois, aux)
+<span class="kw">str</span>(pred$pois)</code></pre>
+<pre><code>## 'data.frame': 10 obs. of 6 variables:
+## $ IP : Factor w/ 5 levels "0.0625","0.125",..: 1 2 3 4 5 1 2 3 4 5
+## $ DAS : Factor w/ 2 levels "30","110": 1 1 1 1 1 2 2 2 2 2
+## $ volume: num 100 100 100 100 100 100 100 100 100 100
+## $ lwr : num 160.9 286.6 128.2 172.5 66.3 ...
+## $ fit : num 172 301 138 184 73 ...
+## $ upr : num 184.4 317 148 196.3 80.5 ...</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">aux <-<span class="st"> </span><span class="kw">predict</span>(m1, <span class="dt">newdata=</span>pred$quasi, <span class="dt">se.fit=</span><span class="ot">TRUE</span>)
+aux <-<span class="st"> </span><span class="kw">exp</span>(aux$fit+<span class="kw">outer</span>(aux$se.fit, qn, <span class="dt">FUN=</span><span class="st">"*"</span>))
+pred$quasi <-<span class="st"> </span><span class="kw">cbind</span>(pred$quasi, aux)
+
+alpha <-<span class="st"> </span><span class="kw">coef</span>(m3)[<span class="dv">1</span>] ## Locação.
+theta <-<span class="st"> </span><span class="kw">coef</span>(m3)[-<span class="dv">1</span>] ## Dispersão.
+
+## Preditor linear.
+X <-<span class="st"> </span><span class="kw">model.matrix</span>(~IP*DAS, <span class="dt">data=</span>pred$cg)
+pred$cg$eta <-<span class="st"> </span><span class="kw">c</span>(X%*%theta)
+
+## Matrix de covariância completa.
+V <-<span class="st"> </span><span class="kw">vcov</span>(m3)
+
+## Marginal em theta.
+Vm <-<span class="st"> </span>V[-<span class="dv">1</span>,-<span class="dv">1</span>]
+
+## Condicional.
+Vc <-<span class="st"> </span>V[-<span class="dv">1</span>,-<span class="dv">1</span>]-V[-<span class="dv">1</span>,<span class="dv">1</span>]%*%<span class="kw">solve</span>(V[<span class="dv">1</span>,<span class="dv">1</span>])%*%V[<span class="dv">1</span>,-<span class="dv">1</span>]
+
+<span class="kw">max</span>(<span class="kw">abs</span>(Vm-Vc))</code></pre>
+<pre><code>## [1] 0.001924182</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Preditos pela Gamma-count.
+U <-<span class="st"> </span><span class="kw">chol</span>(Vm)
+aux <-<span class="st"> </span><span class="kw">sqrt</span>(<span class="kw">apply</span>(X%*%<span class="kw">t</span>(U), <span class="dt">MARGIN=</span><span class="dv">1</span>,
+ <span class="dt">FUN=</span>function(x){ <span class="kw">sum</span>(x^<span class="dv">2</span>) }))
+
+## Para calcular a média de uma Gamma-Count pelo preditor linear.
+eta2mean <-<span class="st"> </span>function(eta, offset, alpha, <span class="dt">tol=</span><span class="fl">1e-5</span>){
+ <span class="kw">stopifnot</span>(<span class="kw">length</span>(eta)==1L)
+ <span class="kw">stopifnot</span>(<span class="kw">length</span>(offset)==1L)
+ <span class="kw">stopifnot</span>(<span class="kw">length</span>(alpha)==1L)
+ change <-<span class="st"> </span><span class="dv">1</span>
+ S <-<span class="st"> </span><span class="dv">0</span>; x <-<span class="st"> </span><span class="dv">1</span>; p <-<span class="st"> </span><span class="dv">1</span>
+ while (p>tol){
+ p <-<span class="st"> </span><span class="kw">pgamma</span>(offset,
+ <span class="dt">shape=</span><span class="kw">exp</span>(alpha)*x,
+ <span class="dt">rate=</span><span class="kw">exp</span>(alpha)*<span class="kw">exp</span>(eta))
+ S <-<span class="st"> </span>S+p
+ x <-<span class="st"> </span>x<span class="dv">+1</span>
+ }
+ <span class="kw">return</span>(S)
+}
+
+aux <-<span class="st"> </span>pred$cg$eta+<span class="kw">outer</span>(aux, qn, <span class="dt">FUN=</span><span class="st">"*"</span>)
+aux <-<span class="st"> </span><span class="kw">apply</span>(aux, <span class="dt">MARGIN=</span><span class="dv">2</span>,
+ <span class="dt">FUN=</span>function(col){
+ <span class="kw">sapply</span>(col, <span class="dt">FUN=</span>eta2mean,
+ <span class="dt">offset=</span>pred$cg$volume[<span class="dv">1</span>], <span class="dt">alpha=</span>alpha)
+ })
+pred$cg <-<span class="st"> </span><span class="kw">cbind</span>(pred$cg, aux)
+
+##----------------------------------------------------------------------
+
+pred <-<span class="st"> </span><span class="kw">ldply</span>(pred, <span class="dt">.id=</span><span class="st">"modelo"</span>)
+pred <-<span class="st"> </span><span class="kw">arrange</span>(pred, DAS, IP, modelo)
+<span class="kw">str</span>(pred)</code></pre>
+<pre><code>## 'data.frame': 30 obs. of 8 variables:
+## $ modelo: Factor w/ 3 levels "pois","quasi",..: 1 2 3 1 2 3 1 2 3 1 ...
+## $ IP : Factor w/ 5 levels "0.0625","0.125",..: 1 1 1 2 2 2 3 3 3 4 ...
+## $ DAS : Factor w/ 2 levels "30","110": 1 1 1 1 1 1 1 1 1 1 ...
+## $ volume: num 100 100 100 100 100 100 100 100 100 100 ...
+## $ lwr : num 161 135 138 287 251 ...
+## $ fit : num 172 172 172 301 301 ...
+## $ upr : num 184 220 215 317 361 ...
+## $ eta : num NA NA 0.513 NA NA ...</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">source</span>(<span class="st">"http://git.leg.ufpr.br/leg/legTools/raw/devel/R/panel.segplot.by.R"</span>)
+
+<span class="kw">segplot</span>(IP~lwr+upr|DAS, <span class="dt">centers=</span>fit, <span class="dt">data=</span>pred,
+ <span class="dt">draw=</span><span class="ot">FALSE</span>, <span class="dt">scales=</span><span class="kw">list</span>(<span class="dt">x=</span><span class="st">"free"</span>),
+ <span class="dt">panel=</span>panel.segplot.by, <span class="dt">groups=</span>pred$modelo, <span class="dt">f=</span><span class="fl">0.1</span>,
+ <span class="dt">pch=</span>pred$modelo, <span class="dt">layout=</span><span class="kw">c</span>(<span class="dv">1</span>, <span class="ot">NA</span>), <span class="dt">as.table=</span><span class="ot">TRUE</span>,
+ <span class="dt">key=</span><span class="kw">list</span>(<span class="dt">type=</span><span class="st">"o"</span>, <span class="dt">divide=</span><span class="dv">1</span>,
+ <span class="dt">lines=</span><span class="kw">list</span>(<span class="dt">pch=</span><span class="dv">1</span>:<span class="kw">nlevels</span>(pred$modelo), <span class="dt">lty=</span><span class="dv">1</span>, <span class="dt">col=</span><span class="dv">1</span>),
+ <span class="dt">text=</span><span class="kw">list</span>(<span class="kw">c</span>(<span class="st">"Poisson"</span>, <span class="st">"Quasi-Poisson"</span>,
+ <span class="st">"Gamma-Count"</span>))))</code></pre>
+<p><img 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" /></p>
+<hr />
+</div>
+</div>
+<div id="numero-de-vagens-viaveis-em-soja" class="section level2">
+<h2>Número de vagens viáveis em soja</h2>
+<p>Nesse conjunto de dados, <strong>o efeito de bloco pode ser aleatório</strong>. Teria que implementar uma versão da Gamma-Count para acomodar termos de efeito aleatório.</p>
+<div id="analise-exploratoria-1" class="section level3">
+<h3>Análise exploratória</h3>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Carrega os dados.
+
+db <-<span class="st"> </span><span class="kw">read.table</span>(<span class="st">"http://www.leg.ufpr.br/~walmes/data/soja.txt"</span>,
+ <span class="dt">header=</span><span class="ot">TRUE</span>, <span class="dt">sep=</span><span class="st">"</span><span class="ch">\t</span><span class="st">"</span>, <span class="dt">dec=</span><span class="st">","</span>)
+<span class="kw">names</span>(db)[<span class="dv">1</span>:<span class="dv">2</span>] <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"k"</span>, <span class="st">"a"</span>)
+db <-<span class="st"> </span>db[-<span class="dv">74</span>,<span class="kw">c</span>(<span class="dv">1</span>:<span class="dv">3</span>, <span class="dv">8</span>, <span class="dv">10</span>)]
+<span class="kw">str</span>(db)</code></pre>
+<pre><code>## 'data.frame': 74 obs. of 5 variables:
+## $ k : int 0 30 60 120 180 0 30 60 120 180 ...
+## $ a : num 37.5 37.5 37.5 37.5 37.5 50 50 50 50 50 ...
+## $ bloco: Factor w/ 5 levels "I","II","III",..: 1 1 1 1 1 1 1 1 1 1 ...
+## $ ts : int 136 159 156 171 190 140 193 200 208 237 ...
+## $ nv : int 56 62 66 68 82 63 86 94 86 97 ...</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">xyplot</span>(nv~k|a, <span class="dt">data=</span>db)</code></pre>
+<p><img 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" /></p>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">xyplot</span>(ts~k|a, <span class="dt">data=</span>db)</code></pre>
+<p><img 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" /></p>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Gráfico de média-variância não é possível pois não existem repetições
+## com o mesmo preditor.</code></pre>
+</div>
+<div id="ajuste-dos-modelos-1" class="section level3">
+<h3>Ajuste dos modelos</h3>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Ajuste do Poisson e Quasi-Poisson.
+
+db <-<span class="st"> </span><span class="kw">transform</span>(db, <span class="dt">A=</span><span class="kw">factor</span>(a), <span class="dt">K=</span><span class="kw">factor</span>(k))
+
+## Modelo Poisson para ter referência.
+m0 <-<span class="st"> </span><span class="kw">glm</span>(nv~bloco+A*K, <span class="dt">data=</span>db, <span class="dt">family=</span>poisson)
+<span class="kw">summary</span>(m0)</code></pre>
+<pre><code>##
+## Call:
+## glm(formula = nv ~ bloco + A * K, family = poisson, data = db)
+##
+## Deviance Residuals:
+## Min 1Q Median 3Q Max
+## -1.9681 -0.6393 -0.0195 0.4854 2.3306
+##
+## Coefficients:
+## Estimate Std. Error z value Pr(>|z|)
+## (Intercept) 3.95369 0.06892 57.363 < 2e-16 ***
+## blocoII -0.02928 0.04091 -0.716 0.47414
+## blocoIII -0.07265 0.04136 -1.756 0.07902 .
+## blocoIV -0.12544 0.04194 -2.991 0.00278 **
+## blocoV -0.10795 0.04297 -2.512 0.01199 *
+## A50 0.13404 0.08765 1.529 0.12619
+## A62.5 0.21656 0.08602 2.518 0.01181 *
+## K30 0.27427 0.08493 3.229 0.00124 **
+## K60 0.30797 0.08432 3.652 0.00026 ***
+## K120 0.32883 0.08395 3.917 8.97e-05 ***
+## K180 0.25540 0.08528 2.995 0.00275 **
+## A50:K30 0.06322 0.11557 0.547 0.58433
+## A62.5:K30 -0.10747 0.11536 -0.932 0.35152
+## A50:K60 0.16561 0.11370 1.457 0.14521
+## A62.5:K60 0.10735 0.11220 0.957 0.33869
+## A50:K120 0.14920 0.11338 1.316 0.18818
+## A62.5:K120 0.11839 0.11404 1.038 0.29922
+## A50:K180 0.30370 0.11361 2.673 0.00751 **
+## A62.5:K180 0.19838 0.11256 1.762 0.07800 .
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
+##
+## (Dispersion parameter for poisson family taken to be 1)
+##
+## Null deviance: 322.684 on 73 degrees of freedom
+## Residual deviance: 65.278 on 55 degrees of freedom
+## AIC: 557.23
+##
+## Number of Fisher Scoring iterations: 4</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">anova</span>(m0, <span class="dt">test=</span><span class="st">"Chisq"</span>)</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: poisson, link: log
+##
+## Response: nv
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev Pr(>Chi)
+## NULL 73 322.68
+## bloco 4 14.284 69 308.40 0.006442 **
+## A 2 92.911 67 215.49 < 2.2e-16 ***
+## K 4 136.060 63 79.43 < 2.2e-16 ***
+## A:K 8 14.150 55 65.28 0.077926 .
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Modelo quasi Poisson para usar os valores iniciais.
+## m1 <- glm(count/volume~IP*DAS, data=da, family=quasipoisson)
+m1 <-<span class="st"> </span><span class="kw">update</span>(m0, <span class="dt">family=</span>quasipoisson)
+<span class="kw">summary</span>(m1)</code></pre>
+<pre><code>##
+## Call:
+## glm(formula = nv ~ bloco + A * K, family = quasipoisson, data = db)
+##
+## Deviance Residuals:
+## Min 1Q Median 3Q Max
+## -1.9681 -0.6393 -0.0195 0.4854 2.3306
+##
+## Coefficients:
+## Estimate Std. Error t value Pr(>|t|)
+## (Intercept) 3.95369 0.07547 52.389 < 2e-16 ***
+## blocoII -0.02928 0.04479 -0.654 0.516036
+## blocoIII -0.07265 0.04529 -1.604 0.114420
+## blocoIV -0.12544 0.04592 -2.732 0.008457 **
+## blocoV -0.10795 0.04705 -2.294 0.025606 *
+## A50 0.13404 0.09597 1.397 0.168117
+## A62.5 0.21656 0.09418 2.299 0.025303 *
+## K30 0.27427 0.09300 2.949 0.004670 **
+## K60 0.30797 0.09233 3.336 0.001530 **
+## K120 0.32883 0.09192 3.577 0.000734 ***
+## K180 0.25540 0.09338 2.735 0.008376 **
+## A50:K30 0.06322 0.12654 0.500 0.619324
+## A62.5:K30 -0.10747 0.12631 -0.851 0.398532
+## A50:K60 0.16561 0.12449 1.330 0.188897
+## A62.5:K60 0.10735 0.12286 0.874 0.386028
+## A50:K120 0.14920 0.12414 1.202 0.234563
+## A62.5:K120 0.11839 0.12487 0.948 0.347229
+## A50:K180 0.30370 0.12439 2.441 0.017873 *
+## A62.5:K180 0.19838 0.12325 1.610 0.113208
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
+##
+## (Dispersion parameter for quasipoisson family taken to be 1.198902)
+##
+## Null deviance: 322.684 on 73 degrees of freedom
+## Residual deviance: 65.278 on 55 degrees of freedom
+## AIC: NA
+##
+## Number of Fisher Scoring iterations: 4</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">anova</span>(m1, <span class="dt">test=</span><span class="st">"F"</span>)</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: quasipoisson, link: log
+##
+## Response: nv
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev F Pr(>F)
+## NULL 73 322.68
+## bloco 4 14.284 69 308.40 2.9785 0.02684 *
+## A 2 92.911 67 215.49 38.7485 3.157e-11 ***
+## K 4 136.060 63 79.43 28.3719 8.316e-13 ***
+## A:K 8 14.150 55 65.28 1.4754 0.18750
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">par</span>(<span class="dt">mfrow=</span><span class="kw">c</span>(<span class="dv">2</span>,<span class="dv">2</span>)); <span class="kw">plot</span>(m1); <span class="kw">layout</span>(<span class="dv">1</span>)</code></pre>
+<p><img 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" /></p>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">cbind</span>(<span class="kw">coef</span>(m0), <span class="kw">coef</span>(m1))</code></pre>
+<pre><code>## [,1] [,2]
+## (Intercept) 3.95368724 3.95368724
+## blocoII -0.02927854 -0.02927854
+## blocoIII -0.07265048 -0.07265048
+## blocoIV -0.12543798 -0.12543798
+## blocoV -0.10794857 -0.10794857
+## A50 0.13404356 0.13404356
+## A62.5 0.21656458 0.21656458
+## K30 0.27427290 0.27427290
+## K60 0.30796674 0.30796674
+## K120 0.32883188 0.32883188
+## K180 0.25540441 0.25540441
+## A50:K30 0.06322288 0.06322288
+## A62.5:K30 -0.10747272 -0.10747272
+## A50:K60 0.16561471 0.16561471
+## A62.5:K60 0.10735066 0.10735066
+## A50:K120 0.14920392 0.14920392
+## A62.5:K120 0.11838578 0.11838578
+## A50:K180 0.30369921 0.30369921
+## A62.5:K180 0.19837927 0.19837927</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Ajuste do Gamma-Count.
+
+start <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"alpha"</span>=<span class="kw">log</span>(<span class="dv">1</span>), <span class="kw">coef</span>(m0))
+<span class="kw">parnames</span>(ll) <-<span class="st"> </span><span class="kw">names</span>(start)
+
+y <-<span class="st"> </span><span class="kw">with</span>(db, nv)
+X <-<span class="st"> </span><span class="kw">model.matrix</span>(~bloco+A*K, <span class="dt">data=</span>db)
+
+L <-<span class="st"> </span><span class="kw">with</span>(db,
+ <span class="kw">list</span>(<span class="dt">y=</span>nv, <span class="dt">offset=</span><span class="dv">1</span>,
+ <span class="dt">X=</span><span class="kw">model.matrix</span>(~bloco+A*K)))
+
+m2 <-<span class="st"> </span><span class="kw">mle2</span>(ll, <span class="dt">start=</span>start, <span class="dt">fixed=</span><span class="kw">list</span>(<span class="dt">alpha=</span><span class="dv">0</span>),
+ <span class="dt">data=</span>L, <span class="dt">vecpar=</span><span class="ot">TRUE</span>)
+
+m3 <-<span class="st"> </span><span class="kw">mle2</span>(ll, <span class="dt">start=</span>start,
+ <span class="dt">data=</span>L, <span class="dt">vecpar=</span><span class="ot">TRUE</span>)</code></pre>
+</div>
+<div id="comparacao-dos-ajustes-1" class="section level3">
+<h3>Comparação dos ajustes</h3>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+
+## Log-verossimilhaça.
+<span class="kw">cbind</span>(<span class="kw">logLik</span>(m0), <span class="kw">logLik</span>(m1), <span class="kw">logLik</span>(m2), <span class="kw">logLik</span>(m3))</code></pre>
+<pre><code>## [,1] [,2] [,3] [,4]
+## [1,] -259.6165 NA -259.6165 -259.3264</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Estimativas dos parâmetros.
+<span class="kw">cbind</span>(<span class="kw">coef</span>(m0), <span class="kw">coef</span>(m1), <span class="kw">coef</span>(m2)[-<span class="dv">1</span>], <span class="kw">coef</span>(m3)[-<span class="dv">1</span>])</code></pre>
+<pre><code>## [,1] [,2] [,3] [,4]
+## (Intercept) 3.95368724 3.95368724 3.95368723 3.95487435
+## blocoII -0.02927854 -0.02927854 -0.02927855 -0.02925363
+## blocoIII -0.07265048 -0.07265048 -0.07265048 -0.07259276
+## blocoIV -0.12543798 -0.12543798 -0.12543798 -0.12534177
+## blocoV -0.10794857 -0.10794857 -0.10794857 -0.10785674
+## A50 0.13404356 0.13404356 0.13404356 0.13388357
+## A62.5 0.21656458 0.21656458 0.21656458 0.21632039
+## K30 0.27427290 0.27427290 0.27427290 0.27397250
+## K60 0.30796674 0.30796674 0.30796674 0.30763762
+## K120 0.32883188 0.32883188 0.32883188 0.32848139
+## K180 0.25540441 0.25540441 0.25540441 0.25512492
+## A50:K30 0.06322288 0.06322288 0.06322288 0.06321988
+## A62.5:K30 -0.10747272 -0.10747272 -0.10747272 -0.10732539
+## A50:K60 0.16561471 0.16561471 0.16561471 0.16553912
+## A62.5:K60 0.10735066 0.10735066 0.10735066 0.10734196
+## A50:K120 0.14920392 0.14920392 0.14920392 0.14914452
+## A62.5:K120 0.11838578 0.11838578 0.11838578 0.11838048
+## A50:K180 0.30369921 0.30369921 0.30369921 0.30351780
+## A62.5:K180 0.19837927 0.19837927 0.19837927 0.19829595</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Estimativa do parâmetro de dispersão.
+<span class="kw">exp</span>(<span class="kw">coef</span>(m3)[<span class="dv">1</span>])</code></pre>
+<pre><code>## alpha
+## 1.137415</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Perfil de log-verossmilhança.
+<span class="kw">plot</span>(<span class="kw">profile</span>(m3, <span class="dt">which=</span><span class="dv">1</span>))</code></pre>
+<p><img src="data:image/png;base64,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" /></p>
+<pre class="sourceCode r"><code class="sourceCode r">## Teste para o parâmetro de dispersão.
+<span class="kw">anova</span>(m3, m2)</code></pre>
+<pre><code>## Likelihood Ratio Tests
+## Model 1: m3, [ll]: alpha+(Intercept)+blocoII+blocoIII+blocoIV+
+## blocoV+A50+A62.5+K30+K60+K120+K180+A50:K30+
+## A62.5:K30+A50:K60+A62.5:K60+A50:K120+A62.5:K120+
+## A50:K180+A62.5:K180
+## Model 2: m2, [ll]: (Intercept)+blocoII+blocoIII+blocoIV+blocoV+
+## A50+A62.5+K30+K60+K120+K180+A50:K30+A62.5:K30+
+## A50:K60+A62.5:K60+A50:K120+A62.5:K120+A50:K180+
+## A62.5:K180
+## Tot Df Deviance Chisq Df Pr(>Chisq)
+## 1 20 518.65
+## 2 19 519.23 0.5802 1 0.4462</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Teste para interação (Wald).
+a <-<span class="st"> </span><span class="kw">c</span>(<span class="dv">0</span>, <span class="kw">attr</span>(<span class="kw">model.matrix</span>(m0), <span class="st">"assign"</span>))
+ai <-<span class="st"> </span>a==<span class="dv">4</span>
+L <-<span class="st"> </span><span class="kw">t</span>(<span class="kw">replicate</span>(<span class="kw">sum</span>(ai), <span class="kw">rbind</span>(<span class="kw">coef</span>(m3)*<span class="dv">0</span>), <span class="dt">simplify=</span><span class="st">"matrix"</span>))
+L[,ai] <-<span class="st"> </span><span class="kw">diag</span>(<span class="kw">sum</span>(ai))
+
+## Teste de Wald explicito.
+## t(L%*%coef(m3))%*%
+## solve(L%*%vcov(m3)%*%t(L))%*%
+## (L%*%coef(m3))
+<span class="kw">crossprod</span>(L%*%<span class="kw">coef</span>(m3), <span class="kw">solve</span>(L%*%<span class="kw">vcov</span>(m3)%*%<span class="kw">t</span>(L), L%*%<span class="kw">coef</span>(m3)))</code></pre>
+<pre><code>## [,1]
+## [1,] 15.96558</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Teste de Wald para interação (poderia ser LRT, claro).
+<span class="kw">linearHypothesis</span>(<span class="dt">model=</span>m0, ## É necessário um objeto glm.
+ <span class="dt">hypothesis.matrix=</span>L,
+ <span class="dt">vcov.=</span><span class="kw">vcov</span>(m3),
+ <span class="dt">coef.=</span><span class="kw">coef</span>(m3))</code></pre>
+<pre><code>## Linear hypothesis test
+##
+## Hypothesis:
+## A50:K30 = 0
+## A62.5:K30 = 0
+## A50:K60 = 0
+## A62.5:K60 = 0
+## A50:K120 = 0
+## A62.5:K120 = 0
+## A50:K180 = 0
+## A62.5:K180 = 0
+##
+## Model 1: restricted model
+## Model 2: nv ~ bloco + A * K
+##
+## Note: Coefficient covariance matrix supplied.
+##
+## Res.Df Df Chisq Pr(>Chisq)
+## 1 63
+## 2 55 8 15.966 0.04288 *
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Teste pelo modelo quasi Poisson.
+<span class="kw">anova</span>(m1, <span class="dt">test=</span><span class="st">"Chisq"</span>)</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: quasipoisson, link: log
+##
+## Response: nv
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev Pr(>Chi)
+## NULL 73 322.68
+## bloco 4 14.284 69 308.40 0.0180 *
+## A 2 92.911 67 215.49 <2e-16 ***
+## K 4 136.060 63 79.43 <2e-16 ***
+## A:K 8 14.150 55 65.28 0.1602
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">anova</span>(m1, <span class="dt">test=</span><span class="st">"F"</span>)</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: quasipoisson, link: log
+##
+## Response: nv
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev F Pr(>F)
+## NULL 73 322.68
+## bloco 4 14.284 69 308.40 2.9785 0.02684 *
+## A 2 92.911 67 215.49 38.7485 3.157e-11 ***
+## K 4 136.060 63 79.43 28.3719 8.316e-13 ***
+## A:K 8 14.150 55 65.28 1.4754 0.18750
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Ortogonalidade entre dispersão e locação.
+
+V <-<span class="st"> </span><span class="kw">vcov</span>(m3)
+<span class="kw">corrplot.mixed</span>(V, <span class="dt">upper=</span><span class="st">"ellipse"</span>, <span class="dt">col=</span><span class="st">"gray50"</span>)</code></pre>
+<p><img src="data:image/png;base64,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" /></p>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">dev.off</span>()</code></pre>
+<pre><code>## null device
+## 1</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">V[<span class="dv">1</span>,-<span class="dv">1</span>]</code></pre>
+<pre><code>## (Intercept) blocoII blocoIII blocoIV
+## 2.365324e-04 5.001425e-06 1.151560e-05 1.911075e-05
+## blocoV A50 A62.5 K30
+## 1.837628e-05 -3.193628e-05 -4.869315e-05 -5.989025e-05
+## K60 K120 K180 A50:K30
+## -6.558486e-05 -6.987732e-05 -5.568224e-05 -4.608388e-07
+## A62.5:K30 A50:K60 A62.5:K60 A50:K120
+## 2.939089e-05 -1.498535e-05 -1.705038e-06 -1.175731e-05
+## A62.5:K120 A50:K180 A62.5:K180
+## -9.755547e-07 -3.610277e-05 -1.658983e-05</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">sum</span>(<span class="kw">abs</span>(V[<span class="dv">1</span>,-<span class="dv">1</span>]))</code></pre>
+<pre><code>## [1] 0.0007341682</code></pre>
+</div>
+<div id="predicao-1" class="section level3">
+<h3>Predição</h3>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Predição das médias com IC.
+
+pred <-<span class="st"> </span><span class="kw">expand.grid</span>(<span class="dt">A=</span><span class="kw">levels</span>(db$A),
+ <span class="dt">K=</span><span class="kw">levels</span>(db$K),
+ <span class="dt">bloco=</span><span class="kw">factor</span>(<span class="st">"I"</span>, <span class="dt">levels=</span><span class="kw">levels</span>(db$bloco)),
+ <span class="dt">KEEP.OUT.ATTRS=</span><span class="ot">FALSE</span>)
+pred <-<span class="st"> </span><span class="kw">list</span>(<span class="dt">pois=</span>pred, <span class="dt">quasi=</span>pred, <span class="dt">cg=</span>pred)
+
+## Quantil normal.
+qn <-<span class="st"> </span><span class="kw">qnorm</span>(<span class="fl">0.975</span>)*<span class="kw">c</span>(<span class="dt">lwr=</span>-<span class="dv">1</span>, <span class="dt">fit=</span><span class="dv">0</span>, <span class="dt">upr=</span><span class="dv">1</span>)
+
+## Preditor linear que considera o efeito médio dos blocos.
+X <-<span class="st"> </span><span class="kw">LSmatrix</span>(m0, <span class="dt">effect=</span><span class="kw">c</span>(<span class="st">"A"</span>, <span class="st">"K"</span>))
+
+## Preditos pela Poisson.
+## aux <- predict(m0, newdata=pred$pois, se.fit=TRUE)
+## aux <- exp(aux$fit+outer(aux$se.fit, qn, FUN="*"))
+## pred$pois <- cbind(pred$pois, aux)
+aux <-<span class="st"> </span><span class="kw">confint</span>(<span class="kw">glht</span>(m0, <span class="dt">linfct=</span>X), <span class="dt">calpha=</span><span class="kw">univariate_calpha</span>())$confint
+<span class="kw">colnames</span>(aux)[<span class="dv">1</span>] <-<span class="st"> "fit"</span>
+pred$pois <-<span class="st"> </span><span class="kw">cbind</span>(pred$pois, <span class="kw">exp</span>(aux))
+
+## aux <- predict(m1, newdata=pred$quasi, se.fit=TRUE)
+## aux <- exp(aux$fit+outer(aux$se.fit, qn, FUN="*"))
+## pred$quasi <- cbind(pred$quasi, aux)
+aux <-<span class="st"> </span><span class="kw">confint</span>(<span class="kw">glht</span>(m1, <span class="dt">linfct=</span>X), <span class="dt">calpha=</span><span class="kw">univariate_calpha</span>())$confint
+<span class="kw">colnames</span>(aux)[<span class="dv">1</span>] <-<span class="st"> "fit"</span>
+pred$quasi <-<span class="st"> </span><span class="kw">cbind</span>(pred$quasi, <span class="kw">exp</span>(aux))
+
+alpha <-<span class="st"> </span><span class="kw">coef</span>(m3)[<span class="dv">1</span>] ## Locação.
+theta <-<span class="st"> </span><span class="kw">coef</span>(m3)[-<span class="dv">1</span>] ## Dispersão.
+
+## Preditor linear.
+pred$cg$eta <-<span class="st"> </span><span class="kw">c</span>(X%*%theta)
+
+## Matrix de covariância completa.
+V <-<span class="st"> </span><span class="kw">vcov</span>(m3)
+
+## Marginal em theta.
+Vm <-<span class="st"> </span>V[-<span class="dv">1</span>,-<span class="dv">1</span>]
+
+## Condicional.
+Vc <-<span class="st"> </span>V[-<span class="dv">1</span>,-<span class="dv">1</span>]-V[-<span class="dv">1</span>,<span class="dv">1</span>]%*%<span class="kw">solve</span>(V[<span class="dv">1</span>,<span class="dv">1</span>])%*%V[<span class="dv">1</span>,-<span class="dv">1</span>]
+
+<span class="kw">max</span>(<span class="kw">abs</span>(Vm-Vc))</code></pre>
+<pre><code>## [1] 2.043359e-06</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Preditos pela Gamma-count.
+U <-<span class="st"> </span><span class="kw">chol</span>(Vm)
+aux <-<span class="st"> </span><span class="kw">sqrt</span>(<span class="kw">apply</span>(X%*%<span class="kw">t</span>(U), <span class="dt">MARGIN=</span><span class="dv">1</span>,
+ <span class="dt">FUN=</span>function(x){ <span class="kw">sum</span>(x^<span class="dv">2</span>) }))
+
+aux <-<span class="st"> </span>pred$cg$eta+<span class="kw">outer</span>(aux, qn, <span class="dt">FUN=</span><span class="st">"*"</span>)
+aux <-<span class="st"> </span><span class="kw">apply</span>(aux, <span class="dt">MARGIN=</span><span class="dv">2</span>,
+ <span class="dt">FUN=</span>function(col){
+ <span class="kw">sapply</span>(col, <span class="dt">FUN=</span>eta2mean,
+ <span class="dt">offset=</span><span class="dv">1</span>, <span class="dt">alpha=</span>alpha)
+ })
+pred$cg <-<span class="st"> </span><span class="kw">cbind</span>(pred$cg, aux)
+
+##----------------------------------------------------------------------
+
+pred <-<span class="st"> </span><span class="kw">ldply</span>(pred, <span class="dt">.id=</span><span class="st">"modelo"</span>)
+pred <-<span class="st"> </span><span class="kw">arrange</span>(pred, A, K, modelo)
+<span class="kw">str</span>(pred)</code></pre>
+<pre><code>## 'data.frame': 45 obs. of 8 variables:
+## $ modelo: Factor w/ 3 levels "pois","quasi",..: 1 2 3 1 2 3 1 2 3 1 ...
+## $ A : Factor w/ 3 levels "37.5","50","62.5": 1 1 1 1 1 1 1 1 1 1 ...
+## $ K : Factor w/ 5 levels "0","30","60",..: 1 1 1 2 2 2 3 3 3 4 ...
+## $ bloco : Factor w/ 5 levels "I","II","III",..: 1 1 1 1 1 1 1 1 1 1 ...
+## $ fit : num 48.7 48.7 48.7 64.1 64.1 ...
+## $ lwr : num 43 42.5 43.3 57.5 56.9 ...
+## $ upr : num 55.3 55.9 54.8 71.5 72.3 ...
+## $ eta : num NA NA 3.89 NA NA ...</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">xyplot</span>(nv~K|A, <span class="dt">data=</span>db, <span class="dt">layout=</span><span class="kw">c</span>(<span class="ot">NA</span>, <span class="dv">1</span>), <span class="dt">as.table=</span><span class="ot">TRUE</span>,
+ <span class="dt">col=</span><span class="dv">1</span>, <span class="dt">cex=</span><span class="fl">0.7</span>, <span class="dt">pch=</span><span class="dv">19</span>)+
+<span class="st"> </span><span class="kw">as.layer</span>(
+ <span class="kw">segplot</span>(K~lwr+upr|A, <span class="dt">centers=</span>fit, <span class="dt">data=</span>pred,
+ <span class="dt">draw=</span><span class="ot">FALSE</span>, <span class="dt">horizontal=</span><span class="ot">FALSE</span>, ## scales=list(x="free"),
+ <span class="dt">panel=</span>panel.segplot.by, <span class="dt">groups=</span>pred$modelo, <span class="dt">f=</span><span class="fl">0.15</span>,
+ <span class="dt">pch=</span>pred$modelo, <span class="dt">layout=</span><span class="kw">c</span>(<span class="ot">NA</span>, <span class="dv">1</span>), <span class="dt">as.table=</span><span class="ot">TRUE</span>,
+ <span class="dt">key=</span><span class="kw">list</span>(<span class="dt">type=</span><span class="st">"o"</span>, <span class="dt">divide=</span><span class="dv">1</span>,
+ <span class="dt">lines=</span><span class="kw">list</span>(<span class="dt">pch=</span><span class="dv">1</span>:<span class="kw">nlevels</span>(pred$modelo),
+ <span class="dt">lty=</span><span class="dv">1</span>, <span class="dt">col=</span><span class="dv">1</span>),
+ <span class="dt">text=</span><span class="kw">list</span>(<span class="kw">c</span>(<span class="st">"Poisson"</span>, <span class="st">"Quasi-Poisson"</span>,
+ <span class="st">"Gamma-Count"</span>))))
+ )</code></pre>
+<p><img 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" /></p>
+</div>
+</div>
+<div id="ocorrencia-de-mosca-branca" class="section level2">
+<h2>Ocorrência de mosca branca</h2>
+<p><a href="http://www.leg.ufpr.br/~walmes/data/ninfas.txt" class="uri">http://www.leg.ufpr.br/~walmes/data/ninfas.txt</a></p>
+<div id="analise-exploratoria-2" class="section level3">
+<h3>Análise exploratória</h3>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Análise exploratória.
+
+dc <-<span class="st"> </span><span class="kw">read.table</span>(<span class="st">"moscaBranca.txt"</span>, <span class="dt">header=</span><span class="ot">TRUE</span>, <span class="dt">sep=</span><span class="st">"</span><span class="ch">\t</span><span class="st">"</span>)
+dc <-<span class="st"> </span><span class="kw">transform</span>(dc,
+ <span class="dt">data=</span><span class="kw">as.Date</span>(dc$data),
+ <span class="dt">bloc=</span><span class="kw">factor</span>(bloc),
+ <span class="dt">tot=</span>inf+med+sup,
+ <span class="dt">off=</span><span class="dv">100</span>)
+dc$aval <-<span class="st"> </span><span class="kw">with</span>(dc, <span class="kw">c</span>(data-<span class="kw">min</span>(data)))
+dc$Aval <-<span class="st"> </span><span class="kw">factor</span>(dc$aval)
+<span class="kw">names</span>(dc)[<span class="dv">2</span>:<span class="dv">3</span>] <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"Vari"</span>,<span class="st">"Bloc"</span>)
+dc <-<span class="st"> </span><span class="kw">droplevels</span>(<span class="kw">subset</span>(dc, <span class="kw">grepl</span>(<span class="st">"BRS"</span>, <span class="dt">x=</span>Vari)))
+<span class="kw">str</span>(dc)</code></pre>
+<pre><code>## 'data.frame': 96 obs. of 10 variables:
+## $ data: Date, format: "2009-12-11" ...
+## $ Vari: Factor w/ 4 levels "BRS 239","BRS 243 RR",..: 3 3 3 3 2 2 2 2 4 4 ...
+## $ Bloc: Factor w/ 4 levels "1","2","3","4": 1 2 3 4 1 2 3 4 1 2 ...
+## $ sup : int 168 30 28 6 31 4 3 48 100 54 ...
+## $ med : int 71 46 36 1 22 6 12 76 50 15 ...
+## $ inf : int 39 22 7 31 28 10 27 13 34 7 ...
+## $ tot : int 278 98 71 38 81 20 42 137 184 76 ...
+## $ off : num 100 100 100 100 100 100 100 100 100 100 ...
+## $ aval: num 0 0 0 0 0 0 0 0 0 0 ...
+## $ Aval: Factor w/ 6 levels "0","8","13","22",..: 1 1 1 1 1 1 1 1 1 1 ...</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## xyplot(sup+med+inf~data, groups=Vari, outer=TRUE, data=dc)
+<span class="kw">xyplot</span>(tot~data|Vari, <span class="dt">data=</span>dc)</code></pre>
+<p><img src="data:image/png;base64,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" /></p>
+</div>
+<div id="ajuste-dos-modelos-2" class="section level3">
+<h3>Ajuste dos modelos</h3>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Ajuste do Poisson e Quasi-Poisson.
+
+## IMPORTANT: Foi usado um offset de 100 por problemas de
+## over/underflow. O problema não é com a Poisson mas com a
+## Gamma-Count. Todas as análises consideram um offset de 100, portanto,
+## permanecem comparáveis e igualmente interpretáveis.
+
+## Modelo Poisson para ter referência.
+m0 <-<span class="st"> </span><span class="kw">glm</span>(tot~<span class="kw">offset</span>(<span class="kw">log</span>(off))+Bloc+Vari*Aval,
+ <span class="dt">data=</span>dc, <span class="dt">family=</span>poisson)
+<span class="kw">summary</span>(m0)</code></pre>
+<pre><code>##
+## Call:
+## glm(formula = tot ~ offset(log(off)) + Bloc + Vari * Aval, family = poisson,
+## data = dc)
+##
+## Deviance Residuals:
+## Min 1Q Median 3Q Max
+## -12.9723 -2.7083 -0.9217 1.8305 11.3713
+##
+## Coefficients:
+## Estimate Std. Error z value Pr(>|z|)
+## (Intercept) 0.616222 0.049692 12.401 < 2e-16 ***
+## Bloc2 -0.520193 0.032281 -16.114 < 2e-16 ***
+## Bloc3 -0.812680 0.035555 -22.857 < 2e-16 ***
+## Bloc4 -0.993601 0.037919 -26.204 < 2e-16 ***
+## VariBRS 243 RR -0.465529 0.076247 -6.106 1.02e-09 ***
+## VariBRS 245 RR 0.083830 0.065605 1.278 0.201320
+## VariBRS 246 RR -0.250994 0.071582 -3.506 0.000454 ***
+## Aval8 0.289922 0.062610 4.631 3.65e-06 ***
+## Aval13 0.423243 0.060915 6.948 3.70e-12 ***
+## Aval22 -0.711247 0.082513 -8.620 < 2e-16 ***
+## Aval31 -2.881443 0.205529 -14.020 < 2e-16 ***
+## Aval38 -3.155880 0.234176 -13.477 < 2e-16 ***
+## VariBRS 243 RR:Aval8 -0.204400 0.103779 -1.970 0.048889 *
+## VariBRS 245 RR:Aval8 -0.243589 0.089165 -2.732 0.006297 **
+## VariBRS 246 RR:Aval8 0.067329 0.093904 0.717 0.473373
+## VariBRS 243 RR:Aval13 -0.536572 0.106217 -5.052 4.38e-07 ***
+## VariBRS 245 RR:Aval13 -0.489295 0.089303 -5.479 4.28e-08 ***
+## VariBRS 246 RR:Aval13 0.005953 0.092025 0.065 0.948419
+## VariBRS 243 RR:Aval22 -0.136051 0.136796 -0.995 0.319954
+## VariBRS 245 RR:Aval22 -0.620871 0.129162 -4.807 1.53e-06 ***
+## VariBRS 246 RR:Aval22 -0.094652 0.127050 -0.745 0.456272
+## VariBRS 243 RR:Aval31 0.137025 0.318385 0.430 0.666922
+## VariBRS 245 RR:Aval31 0.334880 0.265744 1.260 0.207611
+## VariBRS 246 RR:Aval31 0.364323 0.284321 1.281 0.200060
+## VariBRS 243 RR:Aval38 0.160147 0.360325 0.444 0.656716
+## VariBRS 245 RR:Aval38 0.555250 0.290995 1.908 0.056377 .
+## VariBRS 246 RR:Aval38 0.196927 0.336557 0.585 0.558466
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
+##
+## (Dispersion parameter for poisson family taken to be 1)
+##
+## Null deviance: 7106.3 on 95 degrees of freedom
+## Residual deviance: 1283.8 on 69 degrees of freedom
+## AIC: 1812.5
+##
+## Number of Fisher Scoring iterations: 5</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">anova</span>(m0, <span class="dt">test=</span><span class="st">"Chisq"</span>)</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: poisson, link: log
+##
+## Response: tot
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev Pr(>Chi)
+## NULL 95 7106.3
+## Bloc 3 948.6 92 6157.7 < 2.2e-16 ***
+## Vari 3 354.2 89 5803.5 < 2.2e-16 ***
+## Aval 5 4432.2 84 1371.3 < 2.2e-16 ***
+## Vari:Aval 15 87.5 69 1283.8 2.897e-12 ***
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Modelo quasi Poisson para usar os valores iniciais.
+## m1 <- glm(count/volume~IP*DAS, data=da, family=quasipoisson)
+m1 <-<span class="st"> </span><span class="kw">update</span>(m0, <span class="dt">family=</span>quasipoisson)
+<span class="kw">summary</span>(m1)</code></pre>
+<pre><code>##
+## Call:
+## glm(formula = tot ~ offset(log(off)) + Bloc + Vari * Aval, family = quasipoisson,
+## data = dc)
+##
+## Deviance Residuals:
+## Min 1Q Median 3Q Max
+## -12.9723 -2.7083 -0.9217 1.8305 11.3713
+##
+## Coefficients:
+## Estimate Std. Error t value Pr(>|t|)
+## (Intercept) 0.616222 0.216765 2.843 0.005877 **
+## Bloc2 -0.520193 0.140816 -3.694 0.000438 ***
+## Bloc3 -0.812680 0.155096 -5.240 1.66e-06 ***
+## Bloc4 -0.993601 0.165406 -6.007 7.93e-08 ***
+## VariBRS 243 RR -0.465529 0.332600 -1.400 0.166092
+## VariBRS 245 RR 0.083830 0.286178 0.293 0.770455
+## VariBRS 246 RR -0.250994 0.312251 -0.804 0.424261
+## Aval8 0.289922 0.273114 1.062 0.292145
+## Aval13 0.423243 0.265718 1.593 0.115770
+## Aval22 -0.711247 0.359933 -1.976 0.052148 .
+## Aval31 -2.881443 0.896547 -3.214 0.001992 **
+## Aval38 -3.155880 1.021509 -3.089 0.002890 **
+## VariBRS 243 RR:Aval8 -0.204400 0.452700 -0.452 0.653036
+## VariBRS 245 RR:Aval8 -0.243589 0.388950 -0.626 0.533202
+## VariBRS 246 RR:Aval8 0.067329 0.409623 0.164 0.869921
+## VariBRS 243 RR:Aval13 -0.536572 0.463333 -1.158 0.250828
+## VariBRS 245 RR:Aval13 -0.489295 0.389554 -1.256 0.213338
+## VariBRS 246 RR:Aval13 0.005953 0.401426 0.015 0.988210
+## VariBRS 243 RR:Aval22 -0.136051 0.596723 -0.228 0.820324
+## VariBRS 245 RR:Aval22 -0.620871 0.563421 -1.102 0.274305
+## VariBRS 246 RR:Aval22 -0.094652 0.554212 -0.171 0.864891
+## VariBRS 243 RR:Aval31 0.137025 1.388842 0.099 0.921693
+## VariBRS 245 RR:Aval31 0.334880 1.159213 0.289 0.773535
+## VariBRS 246 RR:Aval31 0.364323 1.240248 0.294 0.769831
+## VariBRS 243 RR:Aval38 0.160147 1.571791 0.102 0.919141
+## VariBRS 245 RR:Aval38 0.555250 1.269361 0.437 0.663170
+## VariBRS 246 RR:Aval38 0.196927 1.468109 0.134 0.893685
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
+##
+## (Dispersion parameter for quasipoisson family taken to be 19.02829)
+##
+## Null deviance: 7106.3 on 95 degrees of freedom
+## Residual deviance: 1283.8 on 69 degrees of freedom
+## AIC: NA
+##
+## Number of Fisher Scoring iterations: 5</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">anova</span>(m1, <span class="dt">test=</span><span class="st">"F"</span>)</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: quasipoisson, link: log
+##
+## Response: tot
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev F Pr(>F)
+## NULL 95 7106.3
+## Bloc 3 948.6 92 6157.7 16.6171 3.15e-08 ***
+## Vari 3 354.2 89 5803.5 6.2056 0.0008548 ***
+## Aval 5 4432.2 84 1371.3 46.5852 < 2.2e-16 ***
+## Vari:Aval 15 87.5 69 1283.8 0.3066 0.9932405
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">par</span>(<span class="dt">mfrow=</span><span class="kw">c</span>(<span class="dv">2</span>,<span class="dv">2</span>)); <span class="kw">plot</span>(m1); <span class="kw">layout</span>(<span class="dv">1</span>)</code></pre>
+<p><img src="data:image/png;base64,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" /></p>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">anova</span>(m1, <span class="dt">test=</span><span class="st">"F"</span>)</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: quasipoisson, link: log
+##
+## Response: tot
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev F Pr(>F)
+## NULL 95 7106.3
+## Bloc 3 948.6 92 6157.7 16.6171 3.15e-08 ***
+## Vari 3 354.2 89 5803.5 6.2056 0.0008548 ***
+## Aval 5 4432.2 84 1371.3 46.5852 < 2.2e-16 ***
+## Vari:Aval 15 87.5 69 1283.8 0.3066 0.9932405
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Ajuste do Gamma-Count.
+
+start <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"alpha"</span>=<span class="kw">log</span>(<span class="fl">0.05</span>), <span class="kw">coef</span>(m0))
+<span class="kw">parnames</span>(ll) <-<span class="st"> </span><span class="kw">names</span>(start)
+
+y <-<span class="st"> </span><span class="kw">with</span>(dc, tot)
+X <-<span class="st"> </span><span class="kw">model.matrix</span>(~Bloc+Vari*Aval, <span class="dt">data=</span>dc)
+
+L <-<span class="st"> </span><span class="kw">with</span>(dc, <span class="kw">list</span>(<span class="dt">y=</span>tot, <span class="dt">offset=</span><span class="dv">100</span>, <span class="dt">X=</span>X))
+
+m3 <-<span class="st"> </span><span class="kw">mle2</span>(ll, <span class="dt">start=</span>start,
+ <span class="dt">data=</span>L, <span class="dt">vecpar=</span><span class="ot">TRUE</span>)
+## summary(m3)</code></pre>
+</div>
+<div id="comparacao-dos-ajustes-2" class="section level3">
+<h3>Comparação dos ajustes</h3>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+
+## Log-verossimilhaça.
+<span class="kw">cbind</span>(<span class="kw">logLik</span>(m0), <span class="kw">logLik</span>(m1), <span class="kw">logLik</span>(m3))</code></pre>
+<pre><code>## [,1] [,2] [,3]
+## [1,] -879.2287 NA -406.3823</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Estimativas dos parâmetros.
+<span class="kw">cbind</span>(<span class="kw">coef</span>(m0), <span class="kw">coef</span>(m1), <span class="kw">coef</span>(m3)[-<span class="dv">1</span>])</code></pre>
+<pre><code>## [,1] [,2] [,3]
+## (Intercept) 0.61622189 0.61622189 0.58504511
+## Bloc2 -0.52019337 -0.52019337 -0.57757362
+## Bloc3 -0.81268000 -0.81268000 -0.91824130
+## Bloc4 -0.99360148 -0.99360148 -1.12689114
+## VariBRS 243 RR -0.46552935 -0.46552935 -0.52339156
+## VariBRS 245 RR 0.08382994 0.08382994 0.08711104
+## VariBRS 246 RR -0.25099417 -0.25099417 -0.28037541
+## Aval8 0.28992172 0.28992172 0.31047177
+## Aval13 0.42324335 0.42324335 0.45246233
+## Aval22 -0.71124722 -0.71124722 -0.80784849
+## Aval31 -2.88144313 -2.88144313 -4.65211494
+## Aval38 -3.15587975 -3.15587975 -5.60370939
+## VariBRS 243 RR:Aval8 -0.20439954 -0.20439954 -0.21832971
+## VariBRS 245 RR:Aval8 -0.24358916 -0.24358916 -0.26078764
+## VariBRS 246 RR:Aval8 0.06732943 0.06732943 0.08301183
+## VariBRS 243 RR:Aval13 -0.53657204 -0.53657204 -0.58168152
+## VariBRS 245 RR:Aval13 -0.48929505 -0.48929505 -0.52302729
+## VariBRS 246 RR:Aval13 0.00595329 0.00595329 0.01849365
+## VariBRS 243 RR:Aval22 -0.13605064 -0.13605064 -0.24862953
+## VariBRS 245 RR:Aval22 -0.62087140 -0.62087140 -0.76234787
+## VariBRS 246 RR:Aval22 -0.09465244 -0.09465244 -0.14619717
+## VariBRS 243 RR:Aval31 0.13702528 0.13702528 -0.57602847
+## VariBRS 245 RR:Aval31 0.33488040 0.33488040 1.01382755
+## VariBRS 246 RR:Aval31 0.36432286 0.36432286 0.59593412
+## VariBRS 243 RR:Aval38 0.16014748 0.16014748 -0.68516307
+## VariBRS 245 RR:Aval38 0.55524980 0.55524980 1.80768792
+## VariBRS 246 RR:Aval38 0.19692673 0.19692673 0.09671683</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Estimativa do parâmetro de dispersão.
+<span class="kw">exp</span>(<span class="kw">coef</span>(m3)[<span class="dv">1</span>])</code></pre>
+<pre><code>## alpha
+## 0.05122604</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Perfil de log-verossmilhança.
+<span class="kw">plot</span>(<span class="kw">profile</span>(m3, <span class="dt">which=</span><span class="dv">1</span>))</code></pre>
+<p><img src="data:image/png;base64,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" /></p>
+<pre class="sourceCode r"><code class="sourceCode r">a <-<span class="st"> </span><span class="kw">c</span>(<span class="dv">0</span>, <span class="kw">attr</span>(<span class="kw">model.matrix</span>(m0), <span class="st">"assign"</span>))
+ai <-<span class="st"> </span>a==<span class="dv">4</span>
+L <-<span class="st"> </span><span class="kw">t</span>(<span class="kw">replicate</span>(<span class="kw">sum</span>(ai), <span class="kw">rbind</span>(<span class="kw">coef</span>(m3)*<span class="dv">0</span>), <span class="dt">simplify=</span><span class="st">"matrix"</span>))
+L[,ai] <-<span class="st"> </span><span class="kw">diag</span>(<span class="kw">sum</span>(ai))
+
+## Teste de Wald explicito.
+## t(L%*%coef(m3))%*%
+## solve(L%*%vcov(m3)%*%t(L))%*%
+## (L%*%coef(m3))
+<span class="kw">crossprod</span>(L%*%<span class="kw">coef</span>(m3), <span class="kw">solve</span>(L%*%<span class="kw">vcov</span>(m3)%*%<span class="kw">t</span>(L), L%*%<span class="kw">coef</span>(m3)))</code></pre>
+<pre><code>## [,1]
+## [1,] 6.354826</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Teste de Wald para interação (poderia ser LRT, claro).
+<span class="kw">linearHypothesis</span>(<span class="dt">model=</span>m0, ## É necessário um objeto glm.
+ <span class="dt">hypothesis.matrix=</span>L,
+ <span class="dt">vcov.=</span><span class="kw">vcov</span>(m3),
+ <span class="dt">coef.=</span><span class="kw">coef</span>(m3))</code></pre>
+<pre><code>## Linear hypothesis test
+##
+## Hypothesis:
+## VariBRS 243 RR:Aval8 = 0
+## VariBRS 245 RR:Aval8 = 0
+## VariBRS 246 RR:Aval8 = 0
+## VariBRS 243 RR:Aval13 = 0
+## VariBRS 245 RR:Aval13 = 0
+## VariBRS 246 RR:Aval13 = 0
+## VariBRS 243 RR:Aval22 = 0
+## VariBRS 245 RR:Aval22 = 0
+## VariBRS 246 RR:Aval22 = 0
+## VariBRS 243 RR:Aval31 = 0
+## VariBRS 245 RR:Aval31 = 0
+## VariBRS 246 RR:Aval31 = 0
+## VariBRS 243 RR:Aval38 = 0
+## VariBRS 245 RR:Aval38 = 0
+## VariBRS 246 RR:Aval38 = 0
+##
+## Model 1: restricted model
+## Model 2: tot ~ offset(log(off)) + Bloc + Vari * Aval
+##
+## Note: Coefficient covariance matrix supplied.
+##
+## Res.Df Df Chisq Pr(>Chisq)
+## 1 84
+## 2 69 15 6.3548 0.9732</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Teste pelo modelo quasi Poisson.
+<span class="kw">anova</span>(m1, <span class="dt">test=</span><span class="st">"Chisq"</span>)</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: quasipoisson, link: log
+##
+## Response: tot
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev Pr(>Chi)
+## NULL 95 7106.3
+## Bloc 3 948.6 92 6157.7 8.594e-11 ***
+## Vari 3 354.2 89 5803.5 0.0003281 ***
+## Aval 5 4432.2 84 1371.3 < 2.2e-16 ***
+## Vari:Aval 15 87.5 69 1283.8 0.9950153
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">anova</span>(m1, <span class="dt">test=</span><span class="st">"F"</span>)</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: quasipoisson, link: log
+##
+## Response: tot
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev F Pr(>F)
+## NULL 95 7106.3
+## Bloc 3 948.6 92 6157.7 16.6171 3.15e-08 ***
+## Vari 3 354.2 89 5803.5 6.2056 0.0008548 ***
+## Aval 5 4432.2 84 1371.3 46.5852 < 2.2e-16 ***
+## Vari:Aval 15 87.5 69 1283.8 0.3066 0.9932405
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Ortogonalidade entre dispersão e locação.
+
+V <-<span class="st"> </span><span class="kw">cov2cor</span>(<span class="kw">vcov</span>(m3))
+<span class="kw">corrplot.mixed</span>(V, <span class="dt">upper=</span><span class="st">"ellipse"</span>, <span class="dt">col=</span><span class="st">"gray50"</span>)</code></pre>
+<p><img 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" /></p>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">dev.off</span>()</code></pre>
+<pre><code>## null device
+## 1</code></pre>
+</div>
+<div id="predicao-2" class="section level3">
+<h3>Predição</h3>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Predição das médias com IC.
+
+pred <-<span class="st"> </span><span class="kw">expand.grid</span>(<span class="dt">Vari=</span><span class="kw">levels</span>(dc$Vari),
+ <span class="dt">Aval=</span><span class="kw">unique</span>(dc$Aval),
+ <span class="dt">Bloc=</span><span class="kw">factor</span>(<span class="st">"1"</span>, <span class="dt">levels=</span><span class="kw">levels</span>(dc$Bloc)),
+ <span class="dt">off=</span><span class="dv">100</span>,
+ <span class="dt">KEEP.OUT.ATTRS=</span><span class="ot">FALSE</span>)
+pred <-<span class="st"> </span><span class="kw">list</span>(<span class="dt">pois=</span>pred, <span class="dt">quasi=</span>pred, <span class="dt">cg=</span>pred)
+
+## Quantil normal.
+qn <-<span class="st"> </span><span class="kw">qnorm</span>(<span class="fl">0.975</span>)*<span class="kw">c</span>(<span class="dt">lwr=</span>-<span class="dv">1</span>, <span class="dt">fit=</span><span class="dv">0</span>, <span class="dt">upr=</span><span class="dv">1</span>)
+
+X <-<span class="st"> </span><span class="kw">LSmatrix</span>(<span class="kw">lm</span>(tot~Bloc+Vari*Aval, dc), <span class="dt">effect=</span><span class="kw">c</span>(<span class="st">"Vari"</span>, <span class="st">"Aval"</span>))
+
+## Preditos pela Poisson.
+## aux <- predict(m0, newdata=pred$pois, se.fit=TRUE)
+## aux <- exp(aux$fit+outer(aux$se.fit, qn, FUN="*"))
+## pred$pois <- cbind(pred$pois, aux)
+aux <-<span class="st"> </span><span class="kw">confint</span>(<span class="kw">glht</span>(m0, <span class="dt">linfct=</span>X), <span class="dt">calpha=</span><span class="kw">univariate_calpha</span>())$confint
+<span class="kw">colnames</span>(aux)[<span class="dv">1</span>] <-<span class="st"> "fit"</span>
+pred$pois <-<span class="st"> </span><span class="kw">cbind</span>(pred$pois, <span class="dv">100</span>*<span class="kw">exp</span>(aux))
+
+## aux <- predict(m1, newdata=pred$quasi, se.fit=TRUE)
+## aux <- exp(aux$fit+outer(aux$se.fit, qn, FUN="*"))
+## pred$quasi <- cbind(pred$quasi, aux)
+aux <-<span class="st"> </span><span class="kw">confint</span>(<span class="kw">glht</span>(m1, <span class="dt">linfct=</span>X), <span class="dt">calpha=</span><span class="kw">univariate_calpha</span>())$confint
+<span class="kw">colnames</span>(aux)[<span class="dv">1</span>] <-<span class="st"> "fit"</span>
+pred$quasi <-<span class="st"> </span><span class="kw">cbind</span>(pred$quasi, <span class="dv">100</span>*<span class="kw">exp</span>(aux))
+
+alpha <-<span class="st"> </span><span class="kw">coef</span>(m3)[<span class="dv">1</span>] ## Locação.
+theta <-<span class="st"> </span><span class="kw">coef</span>(m3)[-<span class="dv">1</span>] ## Dispersão.
+
+## Preditor linear.
+pred$cg$eta <-<span class="st"> </span><span class="kw">c</span>(X%*%theta)
+
+## Matrix de covariância completa.
+V <-<span class="st"> </span><span class="kw">vcov</span>(m3)
+
+## Marginal em theta.
+Vm <-<span class="st"> </span>V[-<span class="dv">1</span>,-<span class="dv">1</span>]
+
+## Condicional.
+Vc <-<span class="st"> </span>V[-<span class="dv">1</span>,-<span class="dv">1</span>]-V[-<span class="dv">1</span>,<span class="dv">1</span>]%*%<span class="kw">solve</span>(V[<span class="dv">1</span>,<span class="dv">1</span>])%*%V[<span class="dv">1</span>,-<span class="dv">1</span>]
+
+<span class="kw">max</span>(<span class="kw">abs</span>(Vm-Vc))</code></pre>
+<pre><code>## [1] 0.3355968</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Preditos pela Gamma-count.
+U <-<span class="st"> </span><span class="kw">chol</span>(Vm)
+aux <-<span class="st"> </span><span class="kw">sqrt</span>(<span class="kw">apply</span>(X%*%<span class="kw">t</span>(U), <span class="dt">MARGIN=</span><span class="dv">1</span>,
+ <span class="dt">FUN=</span>function(x){ <span class="kw">sum</span>(x^<span class="dv">2</span>) }))
+
+aux <-<span class="st"> </span>pred$cg$eta+<span class="kw">outer</span>(aux, qn, <span class="dt">FUN=</span><span class="st">"*"</span>)
+aux <-<span class="st"> </span><span class="kw">apply</span>(aux, <span class="dt">MARGIN=</span><span class="dv">2</span>,
+ <span class="dt">FUN=</span>function(col){
+ <span class="kw">sapply</span>(col, <span class="dt">FUN=</span>eta2mean,
+ <span class="dt">offset=</span><span class="dv">100</span>, <span class="dt">alpha=</span>alpha)
+ })
+pred$cg <-<span class="st"> </span><span class="kw">cbind</span>(pred$cg, aux)
+
+##----------------------------------------------------------------------
+
+pred <-<span class="st"> </span><span class="kw">ldply</span>(pred, <span class="dt">.id=</span><span class="st">"modelo"</span>)
+pred <-<span class="st"> </span><span class="kw">arrange</span>(pred, Aval, Vari, modelo)
+<span class="kw">str</span>(pred)</code></pre>
+<pre><code>## 'data.frame': 72 obs. of 9 variables:
+## $ modelo: Factor w/ 3 levels "pois","quasi",..: 1 2 3 1 2 3 1 2 3 1 ...
+## $ Vari : Factor w/ 4 levels "BRS 239","BRS 243 RR",..: 1 1 1 2 2 2 3 3 3 4 ...
+## $ Aval : Factor w/ 6 levels "0","8","13","22",..: 1 1 1 1 1 1 1 1 1 1 ...
+## $ Bloc : Factor w/ 4 levels "1","2","3","4": 1 1 1 1 1 1 1 1 1 1 ...
+## $ off : num 100 100 100 100 100 100 100 100 100 100 ...
+## $ fit : num 104 104 102 65 65 ...
+## $ lwr : num 94.3 68.9 69.9 57.8 38.9 ...
+## $ upr : num 113.6 155.5 152.4 73.1 108.5 ...
+## $ eta : num NA NA -0.0706 NA NA ...</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## source("http://git.leg.ufpr.br/leg/legTools/raw/devel/R/panel.segplot.by.R")
+
+<span class="kw">xyplot</span>(tot~Aval|Vari, <span class="dt">data=</span>dc, <span class="dt">layout=</span><span class="kw">c</span>(<span class="ot">NA</span>, <span class="dv">1</span>), <span class="dt">as.table=</span><span class="ot">TRUE</span>,
+ <span class="dt">col=</span><span class="dv">1</span>, <span class="dt">cex=</span><span class="fl">0.7</span>, <span class="dt">pch=</span><span class="dv">19</span>)+
+<span class="st"> </span><span class="kw">as.layer</span>(
+ <span class="kw">segplot</span>(Aval~lwr+upr|Vari, <span class="dt">centers=</span>fit, <span class="dt">data=</span>pred,
+ <span class="dt">horizontal=</span><span class="ot">FALSE</span>,
+ <span class="dt">draw=</span><span class="ot">FALSE</span>,
+ <span class="dt">panel=</span>panel.segplot.by, <span class="dt">groups=</span>pred$modelo, <span class="dt">f=</span><span class="fl">0.15</span>,
+ <span class="dt">pch=</span>pred$modelo, <span class="dt">layout=</span><span class="kw">c</span>(<span class="ot">NA</span>, <span class="dv">1</span>), <span class="dt">as.table=</span><span class="ot">TRUE</span>,
+ <span class="dt">key=</span><span class="kw">list</span>(<span class="dt">type=</span><span class="st">"o"</span>, <span class="dt">divide=</span><span class="dv">1</span>,
+ <span class="dt">lines=</span><span class="kw">list</span>(<span class="dt">pch=</span><span class="dv">1</span>:<span class="kw">nlevels</span>(pred$modelo),
+ <span class="dt">lty=</span><span class="dv">1</span>, <span class="dt">col=</span><span class="dv">1</span>),
+ <span class="dt">text=</span><span class="kw">list</span>(<span class="kw">c</span>(<span class="st">"Poisson"</span>, <span class="st">"Quasi-Poisson"</span>,
+ <span class="st">"Gamma-Count"</span>))))
+ )</code></pre>
+<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAkAAAAJACAIAAADq+E5hAAAACXBIWXMAAA7DAAAOwwHHb6hkAAAgAElEQVR4nOzdd1xT5/4H8E8S9kYEByhuXIizdWsr0ta9q1hFa62te9S2qFXUOlr9XbVV6dVWq3W0jtZdWxduW3FvEQdDEJC9yfj9EculASFEkpOTfN6vvu5NHs5zzofHkG/OyTnPkahUKhAREYmNVOgAREREumABIyIiUWIBIyIiUWIBIyIiUWIBIyIiUWIBIyIiUWIBIyIiUWIBIyIiUWIBIyIiUWIBIyIiUWIBIyIiUWIBIyIiUWIBIyIiUWIBIyIiUWIBIyIiUWIBIyIiUWIBIyIiUWIBIyIiUWIBIyIiUWIBIyIiUWIBIyIiUWIBIyIiUWIBIyIiUWIBIyIiUWIBIyIiUWIBIyIiUWIBIyIiUWIBIyIiUWIBIyIiUWIBIyIiUWIBI1FSqVRCRzCKDCRGxvDKMYYMr44FjCrGmTNnFi9eHBISEhgYmJmZqX3Hn3/+OTg4eMmSJcOHD3/+/HmZyz979iwkJKRjx47qp3K5PDg4uEGDBtWqVQsODn7Zn2VaWlpQUFClSpWqVq06Z84clUpVvKXEjiWuXyOD9h3L+8uSwej2AuarV2AqoleWlpbWqVMnpVKpUqkmTZo0b948LTs+ePCgXbt26sdr1qwJCQkpffm7d+8OGjRow4YNdevWVbecP39+yZIlBQUF9+7ds7CwOH36dIkdt2zZsmzZsoyMjD/++MPa2nrPnj3FW0rsWHz9xTNo2bG8vywZjG4vYL56Bcc9MKoAu3fvbtmypUQiARAQELB//34tO0ZHRz99+lT9gTcnJ6dBgwalL+/j47Nz585GjRoVtshkshkzZlhYWDRo0KBNmzZ2dnYldnR3d58+fbqDg0NAQIC/v//9+/eLt5TYsfj6i2fQsmN5f1kyGN1ewHz1Co4FjCpARESEm5ub+rGnp2dcXJyWHdu1a+fh4dGmTZtVq1ZJpdKhQ4eWd9Nt2rSxtLQE8Pjx45YtW7Zo0aLExQICAqRSaWHaDh06FG95lfVr0/HVf1nSE91ewHz1Co4FjCpAYmKihYWF+rGDg0NBQYGWHa2trb/66qsaNWosXrx47969kZGROmw9Ozt70qRJY8eOzcvLe/jwYekLnzx5snPnzu3bty+l5VXWX0rHCvllSR90ewHz1Ss8oY9hkimYMWPG7Nmz1Y9v3LjRuHFjLTteuHBh6NChCoUiPT29T58+LVu21KbX+fPnSzyCP3369A4dOpTS8enTpwMGDMjJySmlpRRF1/+yDKV01O2XJQPQ7QXMV6/guAdGFcDLyysqKkr9ODExscwj7IV27NjRs2dPqVTq6Oi4aNGi9PT08m666NlQ7du3L+X8sezs7AULFqxfv97GxuZlLa+y/jI7vvovS3qi2wuYr17BsYBRBejfv/+pU6fy8vIAhIWFjRgxQsuOtWvXjoiIUD+OiIgIDAzUppdSqVQqlerH8+fPT01NVT8+derU7NmzS+xSUFAwderU8ePHK5XKpKSkpKSk4i0ldnzZ+otm0LKjbr8sGYBuL2C+egUnUZnE5WwkuE2bNp09e9bX11ehUEydOlXLXgUFBZ988ombm5uHh4f6mLv6q+NS7N69e9u2bXv37l2wYMGgQYNu3rz5ww8/tGrVys3NrXXr1i/7Nvvjjz/+7rvvCp9aWlqOGTNGoyU/P794x19//bX4+jUylHhGVvGOOvyyZDA6vID56tVmlPSKBYyIiESJhxCJiEiUWMCIiEiUWMCIiEiUWMCIiEiUWMCIiEiUzKuAPXr06MGDBzp0vHXrlvbz+xV18eLFtLQ0HTqePn1afVVKeR07dqz0Kzxe5ujRozr0KiolJSU8PFyHjrGxsbdv39ahY0RExJMnT3ToePXq1cTERB06nj9/PisrS4eOYWFh2s+wVaKCgoKwsDAdOmZmZp4/f16HjomJiVevXtWh45MnTwqvGSqX27dvP336VIeO4eHhhdct6Uy3PwGlUnns2DEdOubm5p4+fVqHjmlpaRcvXtShY1xc3K1bt3To+ODBg8ePH+vQUd/Mq4Bt27Zt06ZNOnRcu3btnj17dOi4aNGikydP6tBxxowZN27c0KHjyJEj4+PjdegYEBCgQ6+iTpw4sXTpUh06/vbbb0UvatHexo0bt2/frkPHFStWHD58WIeOc+fOvXDhgg4dx48f/4rTx0VGRo4fP16Hjn/99dfcuXN16Hj48OEVK1bo0HH79u0bN27UoeN3333366+/6tBx6dKlx48f16FjUbr9CcTHx48cOVKHjjdv3pwxY4YOHU+ePLlo0SIdOu7Zs2ft2rU6dNy0adPWrVt16Khv5lXAXuWiN537Gr6jUJsT5DcV0b/LK46wiAKL6x+0AtdgmM2J699Fr8yrgBERkclgASMiIlFiASMiIlFiASMiIlFiASMiIlEyqdnoRw8ffOpsaac4qy+QkkrLXbYVCqVEoltHhVQqlUgk5e4oV0hlunSUy+WFN0ev2I4N63rfefC4lEgqpUqpUspksvJuWqlUqlSQyco9vK/wD6qQSKRSafn/XXT9B5XL5TKZrJSOmVnZFhaWNra2L920XJ6alubm5lbeTefn52dnZ7m4uJa3Y25ubn5+vpOTU3k7ZmdlKVUqBweH8nbMyMiwkMls7ezK2zEtLc3Gxsba2vplC+Tl5SkUcjs7+1JWkpCQ4OHhUd5NK5XK5OTkypUrl7ejvKAgPSOjUqVK5e2Yl5eXm5Pj7OJS3o45OTlyudzR0bG8HbMyMyGR2NuXNnpdOnXcsOmn8q75FenyTme0Ll25vvrLT33qegsdxDSNnfnltLGBPbt1FDqIaQqcMPv1lk2njBkmdBDTtHDl93EJSWsXfy50ENN0N/Jx8JI1ht+uSRUwAF7VPep4ewqdwjRJJBKPyq4cXj2xsbF2dXbi8OqJs6N9RmYWh1dPMrOzBdmuqRUwIhJcdk6uRCKxsrQEUCCXFxTIHR3KfVSQqEwsYNo6cPT0whXf/331lk9d74b1aiUkpTyMiunxZsfViz61s7X5I+z88u9+Onr67xrVq7Rv7WdlZXHx6m03V+elsyZ1fK25eg2ZWdlLV/8Y8Sg6LiHpaXxit06vfTY+SOMj4fGzFz9f/O3t+4+qV3EfN2LAtLGB6i94rt+JmPLF8ks37jg5OIwc3HPhzI/V3xjFJSTNW/5fezvbtPRMr2oe86Z/qMM3SXol7LgVin767Jd9f37y0Qj105eNZ6Eyg2mT3ACMc3j7jp5+9PTfhT+1trLKfXSu6PIc3qJbKe/wFopPeL7xl32+jer18u9UtF0sw/vqTOokjmaNfbauXuDbsJ6e1h92/tIbg8btXPfVoJ7dAOw/cqrPqOmLPhs/a/L7AB5HP63dts+yL6aoX2dZ2Tnteo+OjU+IufS7rY11gVzeuf/YMcP6fhDYD0B6Rlbf0dNnfPRe0Vfeo6inLQICx48aXLtG9a2//X7y/OU1iz8bHzRYqVR6v9Zr6tjADm389h85vfibDStCpk8dG5idk9us29Btaxe91ryJSqUKnDC7jrfXos90mS5PG/7vjh87vN+7fco9X5xQ41a4gEKhbP3Oe7HxiQnXjwB42XhqxC49mDYLlEvXQeO6tmsVMuNDsQ8vgLeHT3rnjfaFp/PIZNKPRw7SiG3g4Z06d3lMXMKu9V+Xt6MRDi8AlUr17YZfdh44Ov+TcW+0b1385CADD+/1OxEjJs+7duteeTu+IuP6tG7knB3/dVZVL/9OdrY2Dx7HvPip079+am9nO3zAO8mp6Q+fxALYse9Icmqa+nUMwMnRfnBv/6ru/zqj7FF07KzJ7y/+fMLY4f2P/Ly2QZ2a2347DOBOxOPgSaNnjHuvbUvfRZ+N79y25fU7DwB8v22Pk6P9a82bAJBIJOODBn+74ees7Bx9/f66EmrcCv24Y7+rs5PlP+dYvmw8NWOXGkybBQzD2IYXgJWl5eQxQyeOHqL+r3j1KjOYNgsYhhEOL4A5X4f+efLCH9tWv9mhTYmntopleF8RDyGWg8YLJTMrJyc3r9PrzUv8KYDMrGxrK6u6tbwAXLp+x87WpuhPPxoxUKOLi5PjyEE91Y8tLSy6tm99/MxFALVqVKtbq2/hYlaWFm91bQvg8o27Rf+6atWonpGZHfkkplmj+q/2i1YwocZNLT0j69a9yPatmz2KfnGfjpeNZ+mxNYJps4BhGNvwArCwKO2CAW2CabOAYRjh8B48dmb1xl8iz+3VWHkpsWGsw/uKuAemo4zM7Clzl384vH/Q4F4lLhCXkPTD9r1fz5lsY20FwN3N9eqt+1+v3ZyZ9eJ0neKXE7X0bVjV43+fzlJS01v6NgRgb2erXgmA34+fa+nbcEjv7gDsbG1u3X+Y/89dpiKfxACIjdPlNlcGY8hxU1v5/bZpHw4HUPgZ9mXjWTqNYDosYADGMLwAVCrV4m821Hq9t0vDrv3HfBITl1Bmcg6vWpnDq1KpPv3ym49GDKxcqRzXgYlieHXAPbByW73xl22/HT4Xfq3Tay1GDOpZ/INM6OZdl67fSUnL2LhiXkCXFx/tPw4atPePk58t+iZ4yWqfut5t/Bq/82aHIb39X3YRblpG5skLl4/9ElrYsmL9tj/Czl+5ea9bxzaXb9xt1axRv7e7hm7e9dmib5cET0xJS1/wn/UAXJzLffWoYQgybg+fxFpZWtaoXgWAhcW/rrAuPp4vS15isHItYABGNbyJz1MkEsnW1V9euHzji69D+4ya9vfBzRrjX3qwci1gAMYzvDfvRd6+//CLqR9MmvP14RPnq1WpvHDmx13atXxZclEMr864B1ZuE0e/++v3y55ePjy4t//AsTM/+GShxgK2NtY/bN/buH7tt7q2K3yhuzg5ntu34dy+Df+ZN61FU58/T10YNn7Wh5++9K50k+Z8vXDmR00b1i1sGTWk1+9bvokOP5iTm/fmkI+ePksM6NJ2SfDEdVt+dff1nzj7a/9Or0mlUp+6tfTwS1cAQcbtmw0/T3r/XfVjjXk3io/ny9ZZYrByLWAARjW8v/2wPHjS6A5t/GaMe++r2ZOv3Lx37fb9l62Tw1tIm+ENv3YbwK6DRwf27LZl9cKCAnmPEZNj41+6jyuK4dUZC5iOpFLpkN7dRwzsueHnffEJz4v+KGhwr4E931z87cYzf1/V6NKuVbMpHwzbuvrLyHN7u3d+/addhxQKZfGV/7TrkFQiHTu8f9FGV2cn9bU1n00ISs/IOnvxGoDPJ45Ku3vy2bU/d6//+sHjmDfat67kUu6JfwzJkOMWdv7Sa82b2NuVPDlTieNZopcF034BgzGS4XV3+9+0Vf3e7gogISnlZZk5vGpaDm9SciqAVQs+6dqu1estmv707YLsnNw/wl46hZ6IhlcHLGCvRP2FZ15+ftFGiUTy3dJZ7m4u7036Ii0jU92YnJpe+GUVADtbm1FDers4Oxafju/2/Ye//n583bLZhZ+GUtMzii6gfncoLFQWFjI7W5vIJzHbfju88NOPKvLX0xvDjNvMhatGT5tvU7u9Te32S1b/eOveQyvvtjMXrip9PIsrMVi5FjAwYYdXo6P6Lbh50wYvS8vhRXmG16NyJQBVKr/42qxerRouTo45ubkvSyu64S0XFrBXcvv+w5qeVWt6VsU/t9xW/2/lSi4//N/cJzFxE2e/uO5k54Gjt+8/Ktr3wePogC5tNfbZnyUmf7549Y8rQ9SzGKjNXfZd0b+Wm3cj63p7dXq9RWFLWkbm6GnzF8z8qF2rZhX/S+qBYcbtl9Al145uv3pk29Uj28YG9qvr7RV++KcpHwwrczzVSg+mzQJCEXZ4l4VuVk+yrHbp+p3e3TtX89Cc65bDW6hcw6s+xzgm7pl6sQK5PCMrq7VfY42Q4h3ecuFJHOWQm5dX9Omew2G7Dhw7+NMq9csxLT0TQEbmi9ONenbrOHZ4//Vbf+vxZodh/d5KS8/8eu2m1Ys+U3/SP3n+8q+HThzbEVp0hdk5uX1GTev4WvONP+8rbGzfxq+ut9ekOctWL/rUytLyeUrayvXbtq9drH6tq1Sq85duzJi/Yuzw/qPf7a3nAdCRUOOmvkJOzdraqkAuV//xlzKeRZUeTJsFDMPYhtfFyXHVDz9PGxsIICo2fs2PO75fPqd4bA6vWnmH16uah3+n19Zv26OesmDTjgO9/Du93qKpRmyxDO8rYgErhxXrtgGYuXDVd5t3F8jldrY2f2xf3bVdKwDbfju8eddBAJt2HkjPzPpq9iRrK6v/zJt2/MzFDz5ZmJKW3qGN34lz4Y26DPL2qlq7hmfDerXO7Pnewf5fE8RN/mLZ31dv/X31VtHGJcETB/Z888S58La9RtWu6elVzePHlSHeXtUAqFSqOV+HVnJx2vfjf4p+62BshBo39VvA8bMXdx88vmP/kaTk1BGT5w7p7d+jW4cSx7OoMoO5ODmWvkDRyRT0ytiGd0CPN9+b9MXGn/f51PVuUNf7p28WFp8IkcNbqLzD27t7513rv544++vR0+a7u7lKpZKfQ5doZBbR8L4iTiWlX3K5QiqV6HazK2Oj81RSOjDacSszmM7JdZ5KSgdmOLw6TyWlAzMcXqGmkuIemH697NoXKp3RjluZwYw2eVFGG5LDq1emMbxFGdcHBCIiIi2Z1CHExj51a1Tz0Jh8kyrK04REhVypnheAKtyR039Vr+LepEEdoYOYpotXb8kVCrGcpis6aRmZMXGJt+6VMCm2XpnUIUTvmjX8fJs6Ohr1lbziFX3gYO1atZo01TzfiSrEzfuPa3t7+rVsI3QQ05SUnpOXk8nh1ZOMjHTpjZuG365J7YE1a9Zs69atvr6+QgcxTTVr1hwwYMDKlSuFDmKaunbtCiAsLEzgHCZq6tSpv/3225MnT4QOYpquX78+YsSIa9deOp2NnvA7MCIiEiUWMCIiEiUWMCIiEiUWMCIiEiUWMCIiEiUWMCIiEiUWMCIiEiUWMCIiEiUWMCIiEiUWMCIiEiUWMCIiEiUWMCIiEiUWMCIiEiUWMCIiEiUWMCIiEiUWMCIiEiUWMCIiEiUWMCIiEiUWMCIiEiUWMCIiEiUWMCIiEiUWMCIROH36dL9+/dq1azd+/Phnz54JHYfIKFgIHYCIyvD777/36NFD/fjChQt//PFHeHi4q6ursKmIBMc9MCJj9+WXXxZ9+vDhw02bNgkVhsh4sIARGbsHDx5otERERAiShMiosIARGTsfHx+NloYNGwqShMiosIARGbt58+YVfVq3bt2goCChwhAZD57EQWTsunXr9tdff4WGhj579szPz2/GjBlOTk5ChyISHgsYkQi89tprr732mtApiIwLDyESEZEosYAREZEosYAREZEosYAREZEosYAREZEosYAREZEosYAREZEosYAREZEosYAREZEosYAREZEosYAREZEosYAREZEosYAREZEosYAREZEosYAREZEosYAREZEosYAREZEosYAREZEosYAREZEosYAREZEosYAREZEosYAREZEosYAREZEosYAREZEosYAREZEosYAREZEosYAREZEosYAREZEoCV/A8vPzFQqFSqWSy+VyuVzoOEREJA4GLWBpaWlBQUGVKlWqWrXqnDlzVCoVAHt7ewsLC6lUamlpOXXqVABnzpxZvHhxSEhIYGBgZmamIRMSEZFYGLSAHThwwNfXNyoqavPmzcuXL9+3bx+AoKCgxH8sXbo0PT191qxZwcHBISEhlStXXr58uSETEhGRWBi0gLm7u0+fPt3BwSEgIMDf3//+/fsqlcrJyanyPxwcHHbv3t2yZUuJRAIgICBg//79hkxIRERiYdACFhAQIJW+2GJERESHDh3kcnl4eHjnzp1dXFx69eoVHx8fERHh5uamXsbT0zMuLs6QCYmISCwsBNnqyZMnO3fu3L59+7y8vHfffffjjz9OSUnp0aPHzJkzbWxs6tSpo17MwcGhoKCgePeLFy/OmjWrePvjx4/T0tL0G52IiP4tLS3t0aNH3bt3L/6jJUuWtG7dWk/bFaCAxcXFffPNN1u3bgVgbW09YcIEAG5ubjNnzpw/f/5bb72VlZWlXjIvL8/Dw6P4Gnx8fD777LPi7R999JGjo6M+sxMRkSZHR0d3d/fib8uWlpY+Pj76266hC1h2dvaCBQvWr19vY2MDIDMz08HBQf0jBweHZs2aeXl5Xb58Wd2SmJjYqFGj4itxcnLy9/cv3m5nZ1d4iJKIiAxDKpU6ODiU+Las3+0acmMFBQVTp04dP368UqlMSkpKSkpasWJFXl4eAJVKdfjw4QULFvTv3//UqVPqxrCwsBEjRhgyIRERiYVB98AmT568fv369evXq59aWloeO3Zs6NCh9erVc3NzGzduXN26dQHMnz9/0qRJvr6+rq6uffv2NWRCIiISC4MWsNDQ0NDQUI3GTp06abQEBQUFBQUZKhQREYkSvzEiIiJRYgEjIiJRYgEjIiJRYgEjIiJRYgEjIiJRYgEjIiJRYgEjIiJRYgEjMnEKhaJwflEiU8ICRmSysrKyxo0b5+zs7ODg4Ofnd+rUKaETEVUkFjAik/Xpp5+uW7dOvft1/fr1oUOHxsbGCh2KqMKwgBGZJpVK9fPPPxdtiYuLO3TokFB5iCocCxiRaZLL5cnJyRqNKSkpgoQh0gcWMCLTZGlp2a5dO43G9u3bCxKGSB9YwIhM1urVq4ve03zChAkdO3YUMA9RxTL0HZmJyGBatmx5586dvXv3pqamtmvXrm3btkInIqpILGBEpqxSpUqjR48WOgWRXvAQIhERiRL3wIioBE+fPj148GBOTk6XLl38/PyEjkNUAhYwItJ05MiRgICAwqcLFy6cM2eOgHmISsRDiESkaezYsUWffvHFFxEREUKFIXoZFjAi+pfY2NgnT55oNF64cEGQMESlYAEjon9xdXUt3lj0ejIiI8ECRkT/YmdnN3z48KIt9evX79Spk1B5iF6GBYyINK1du3bkyJE2NjYAOnbsuG/fPjs7O6FDEWniWYhlUE/p/eeff1pZWQ0bNqxr165CJyLSOycnp02bNn3//fdyudzW1lboOEQlYwErw/jx47/77jv143Xr1oWGhn700UfCRiIyDEtLS0tLS6FTEL0UDyGW5vbt24XVS+3zzz8vKCgQKg8RERViASvNzZs3NVrS0tIiIyMFCUNEJmP9+vVNmjSpUqVK79697927J3QcseIhxNJ4e3sXb6xRo4bhkxCRyVi9evWkSZPUjw8cOHDt2rW///67atWqwqYSI+6BlaZ169Ya90/6+OOP7e3thcpDRCZgzZo1RZ9GR0fv3r1bqDCixj2w0shksj179ixYsOD48ePW1tYDBw6cPn260KGISNyio6M1WqKiogRJInYsYGVwc3NbtWqV0CmIyHQ0b9787NmzRVtatGghVBhR4yFEPbp06dLKlSs3bNiQnJwsdBYiMhbLli0r+rRLly6DBw8WKoyocQ9MX+bNm7dgwQL147lz5+7fv58fsogIQLt27R4+fLhp06akpKTWrVu/9957MplM6FCixAKmF+Hh4YXVC0BsbOyYMWMuX74sYCQiMh61a9cOCQkROoXo8RCiXvzv3hNNh8K5JoArV65kZWUJmYmIyLRwD0wvXFxcXjxqOhTyHKRFOTk5qadGJSKiCsE9ML0ICAioXr160ZZBgwbxMDcRUQViAdMLDw+PnTt3Fp618f77769cuVLYSEREJoaHEPWlffv2ly9f7r1V8f7c3v0b8YMCEVEF4xurfslkMqlUCiAiGSqV0GmIiEwIC5iB9N6GR6lChyAiMiEsYAaiVEHBPbBicnNzv/zyy1atWjVr1mzGjBkpKSlCJyIi0eB3YHp07Nixu3c990bdaz28NeApdBxjNGHChA0bNqgf37hx48qVK0ePHlUfdCUiKh3fKfRlypQp/v7+9+7d27hxY+vWrXNycoROZHTS0tIKq5faiRMnrl69KlQeIhIXFjC9OHfu3DfffFP4ND4+PiEhQcA8xqnEW0g8fvzY4EGISJRYwPQiPDxcoyU/Pz87O1uQMEarfv36xRt9fX0Nn4SIxIgFTC88PDw0WqRSKaeS0mBjY6Nxr7XJkyeXWNWIiIrjSRx6ERAQUKNGjaL3XXVycuK5CcVNnjy5cePGO3bsKCgoeOedd4YMGSJ0IiISDRYwvahUqdL+/funT59+HHBycho7Y8beypWFDmWk/P39/f39hU5BROLDAqYvfn5+x44d6/czRrfo29cH+74VOhARkWnhQS0iIhIlFjAiIhIlFjAiIh399NNPLVu29PDweOONN86cOSN0HLPD78CIiHSxY8eOkSNHqh+HhYV16tTpzp07DRs2FDaVWeEeGBGRLr777juNlk2bNgmSxGyxgBER6eLp06caLbGxsYIkMVssYEREumjevLlGS4sWLQRJYrZYwIiIdLFw4cLKRSYoaNq06bhx4wTMY4YMehJHWlra5MmT9+/fb2Vl9cEHHyxcuFAikZw5c+bUqVP5+fn3799ft26dg4ND8RZDhiQi0kb9+vVv3LixcePGmJiYJk2ajB492tbWVuhQ5sWgBezAgQO+vr5r1qw5d+5cnz592rRp88Ybb8yaNevkyZMSiWTy5MnLly+fPn26RktISIghQxIRaalq1arBwcFCpzBfBj2E6O7uPn36dAcHh4CAAH9///v37+/evbtly5YSiQRAQEDA/v37i7cYMiEREYmFQffAAgICCh9HRETMmjXrwIEDbm5u6hZPT8+4uLiIiAiNluLrSUlJOXr0aPH29PR0pVKph+BERPRSSqUyLS1t586dxX/UvXt3FxcXPW1XmAuZT5482blz5/bt22/cuLFOnTrqRgcHh4KCgsTERI2W4t2joqJKHKn09PSsrCz9xSYiouKysrJKLGCWlpY+Pj4mVcDi4uK++eabrVu3AnB2di4sOXl5eR4eHsVbiq/Bz89vx44dxSnh/ewAACAASURBVNubNWvm6Oiot+BERFQCR0fHmjVrlvi2rFeGPo0+Ozt7wYIF69evV9+e2MvLKyoqSv2jxMTERo0aFW8xcEIiIhIFgxawgoKCqVOnjh8/XqlUJiUlJSUl9e/f/9SpU3l5eQDCwsJGjBhRvMWQCYmISCwMeghx8uTJ69evX79+vfqppaVlfn7+/PnzJ02a5Ovr6+rq2rdvXwDFWwQXfAxNPTDcV+gcRET0D4MWsNDQ0NDQUI3GoKCgoKCg0lsE9Pz584ULF25JaWef9TiqlXL69OnW1tZChyIiIt5OpVQKhaJfv35nzpxBzwbPE6Jm7V4bHR29du1aoXMRERHnQixVeHi4xk3qQkNDeaY+EZExYAErTeH5kEXFxMQYPgkREWlgASuNn5+fRovV0B3ZjvUECUNEREWxgJWmQYMGkyZNKtpSq1nH9AKZUHmIiKgQC1gZVq1atW3bNh8fn44dO544caJatWpCJyIiIoBnIZZJIpEMGzbsjDOauKNrG+BHoQMREREA7oEREZFIsYAREZEosYAREZEosYAREZEosYAREZEosYARESElJeXatWspKSlCB6FyYAEjIrOmUqmmTZtWqVKl5s2bV6pU6ZNPPlGpVEKHIq2wgBGRWfvhhx9WrlxZ+PT//u//fvzxR+HiUDmwgBGRWdu/f79Gy969ewVJQuXFAkZEZq2goECjRS6XC5KEyosFjIjMWrdu3TRa/P39BUlC5cUCRmTKjh49Onz48J49e3755ZcZGRlCxzFGU6dODQwMLHw6YsQIjXtQkNHiZL5EJmvLli0jRoxQPz506NDevXvPnTtnaWkpbCpjI5PJtm7d+umnn0ZGRtavX9/X11foRKQt7oERmax58+YVfRoeHr5v3z6hwhg5Pz+/AQMGsHqJCwsYkWnKz89/+PChRuPdu3cFCUPFZRcg7LHQIUSOBYzINFlZWdWqVUujsX79+kJkoRLcSsSnR4QOIXIsYEQm64svvij6tEWLFn369BEqDFGF40kcRCbr/fffd3d3Dw0NTU1N7dix4+zZs21sbIQORVRhWMCITFnv3r179+4tdAoiveAhRCIiIT1KxVHNs21IKyxgRERCOvUEW64LHUKcWMCIiEiUWMCIiEiUWMCIiEiUWMCITFz4U7y7S+gQRHrAAkZk4lJzkZwjdAgiPWABIyIiUWIB04vl5/BduNAhiIhMGguYXqTwoA2ReVCo8OsdoUOYKxYwInOx7x6+/VvoECbnWSYm/S50CHPFuRCJzMXjVESmCB2CqOJwD4yIiESJBYxIHBQqXI4TOgSRMWEBIxKHiOcY8ZvQIejlHqbg67NChzAzLGBE4qACVCqhQ9DLRaaU464o6enphw4dio+PP3XqlD5DmTgWMCIig7p3717jxo1DQkKio6O7dOmybt06oROJFQsYEZFBTZkyJTY2tvDpuXPnYmJiBMwjXixgRCKTmY87SUKHoFdw/vx5jZaEhARBkogdCxiRyPwZiXknhA5Br8Dd3V2jxcbGRpAkYscCpl9/xeJslNAhyLQoVeDJHKI2atSook9dXFy8vb0FyiJuLGB6kZWPrHz8dhfpedh4FVkFQgciIqMRHBz8+eefq/e6GjduPH78eHt7e6FDiRKnkqpgYY/x4X7EZQJAngJN3OFujy95oiwR/UMmky1ZsqTfBOWEgwhfd2vTNcQ+EjqTOLGAVaS7SRi2G1sH4Ngj/BUDhRIXYjDSD0vPQCaFgsd9iOgfUqlUykNgr4bjV5G+/RvT2uLN2kjLw4UYbBmIGi44F4WZ7fEsEzHpQucjIjIhLGAV6UkqmngAQNhjtKsBT0c4WeFZFia/DpUK4U+FzkdUHg+ScfiB0CGIXo4FrCJ5OeF2Ik5HISYdnWoCQEY+3O1hJYNMgu/CIVcKHZFIa+eisf2m0CGIXo7fgVWkSa/DfzPc7eFohWOPcCcJkSmo44rPj0IJJGRh0zWMaSF0SiIik2BeBexqPORKtK6ur/U3cccPfRC0B1kFSMyGXAkJcDYKf8dCqYKFFHNPYPFpAPigJYI76isGEZE5MK8CduA+8hR6LGAAetRHwieY8DtsLDCxDcYdwODG8K+Dhquxpgc61HixmJudHjMQEZkD8ypghiGRwNUG9pao4wp7S1RxQB1XAKjq+OIBkbisvwwXGwxuLHQOon8TpoCpVCqJRKJ+nJ+fL5PJpFKpQqEAYGHBmkpkXCKT4WordAgjplKpAInQKcyRoc9CfPbsWUhISMeO//v+x97e3sLCQiqVWlpaTp06FcCZM2cWL14cEhISGBiYmZmpjxjR6ciR62PFRGQuVCrV/PnzGzVqFBcX5+3tHRYWJnQis2PQAnbv3r2JEyd6e3s/e/assDEoKCjxH0uXLk1PT581a1ZwcHBISEjlypWXL1+ujySzjmHfPX2s+KUcrVGJ800TmZC1a9eGhISkp6cDiIqKWrx4cVpamtChzItBC5iPj8/OnTsbNWpU2KJSqZycnCr/w8HBYffu3S1btlQfYAwICNi/f78+kihVUBj2kiw3WzhZG3SLRKRX27dv12gp+tGcDEDgC5nlcnl4eHjnzp1dXFx69eoVHx8fERHh5uam/qmnp2dcXJywCYmISpSSkqLRUlDAG08YlMAFTKlUvvvuu2FhYZGRkYmJiTNnzkxMTCw8j8PBwaHEF8Tx48dlMpmkmFu3bhV/Sb2K3Xew9EwFro+ITEe7du00WlxcXARJIriUlJSbN28Wf0+WyWQnTujx7qsCFzBra+sJEyZIpVI3N7eZM2devXrV2dk5KytL/dO8vDwPD4/ivd58802FQqEqpkmTJq6uFXmielwGYjMqcH1EZDqWLl3apEmTwqcdOnSoXl2fF5kaMVdX16ZNmxZ/T1YoFG+88Yb+titwASt6kqGDg0OzZs28vLyiol7cwzgxMbHoF2ZERMajcuXKly9fDg0NdXJyOnz48Lx58wqvDiLDEKCAKZVKpfLFGRQrVqzIy8sDoFKpDh8+vGDBgv79+586dUrdGBYWNmLECMMnJCLShpWVVZ8+fRwcHN566y2hs5gjQ181vHv37m3btqlPOR00aFDXrl2HDh1ar149Nze3cePG1a1bF8D8+fMnTZrk6+vr6urat29fAyckIiJR0KqA5eTk2NpWzIX4AwcOHDhwYOHTBg0adOrUSWOZoKCgoKCgCtmcUJpVgS1nFCEi0ietDiHWqVNHo+XYsWOhoaF6yGMi3m2CPj5ChyAiMmkvLWAqlSotLU2lUuHFTF//IpPJgoOD9RuNiIjo5V56nCsnJ6d27dqZmZkuLi5JSUlVq1Yt/JFCoUhKSmrWrJlBEhIREZXgpQXMzs5uy5YtkZGRlpaWX3311ZQpU4r+1MHBoVevXvqPR0REVLLSzjTo0aOH+kHVqlX79etnkDxERERa0eokDnX1ksvld+/eNc/ZKo8/wrFHQocgIqIitCpgKpVqxYoVrq6ujRo1qlq1aqNGjU6ePKnvZMYgMx9ZBbgQg+g0HIlEvF7uTUZERLrQ6mKlTZs2ff7550OHDu3SpYu7u3t0dPSnn366bt06Pz8/fecTyrlojDuAJ6lQqrD1GppUQTUHfHpE6FhERPQPrQrY999/f+rUqddff72w5f333583b56pFrCnGRi4A9++g/hM/HYXGXm4lYButbDrDrILEJMudD4iItLyEGKDBg2KVi8ANjY2xS8OMxk/XMG7TTCoMXLk+CsWG/uhtSdORWFxNzzPRmK20PmMT15e3vz58xs0aFC9evV333334cOHQiciItOnVQErvMNkoefPn+v1Li/CiklHY3cA+OMBarugiTtcbZGSg2FNIZHg0lOtVqJSqXbt2nXnzp1ffvklIiJCr4EF9/nnn4eEhERERMTFxe3YsePtt98uvCcOEZGeaFXAPDw8goODHz16lJubGxMTs3379k6dOpnq8UMAXk64nYj7z3HxKdp6AUBKDlxtAcDWAgfvIzO/7JWMGTNm8ODB9+/f3759e4MGDbKzTXbHTalUbty4sWhLRETE8ePHhcpDRGZCq+/Apk+f/tFHHxWdEbFTp07Lly/XWyqBjWmBVuvwVwwcrRAeh84bcS4GdVzR7xfkymEpw5h9GNQYAOpVQouqJazh7NmzGu/piYmJgLdB4htaSkpKWlqaRmPhTd2IiPREqwKWn5+/fv36KVOm/P3331lZWb6+vl26dDHhW7dVd8TuIXh3F1JykZQDlRJ2FsjKx8NkKFVwscHTDOy8BQCtq5dcwMLDwzVa8vPzs7KyUMle//ENzc3NrUaNGtHR0UUbW7RoodeN5uTkfPnllydOnJBIJD169Jg5c6aVlZVet0hExkarAlanTp24uLimTZs2bdpU3XLs2LH79+9//PHH+swmpPY1ED0NC04hIhmb+2Li72jijvFt4LoUn3XE5NfK6F78zuJSqdTOzk5fcYW2cuXKonfJGTZsWPv27fW6xZEjR+7atUv9+Ny5c1FRUf/973/1ukWiilKghKUA9xI2QZyNvjSVbOBiDR12Nd966y2Ne9A4Ozub8D7rgAEDrl+/HhwcPHny5J07d27dulWvm3vw4EFh9VJbt25dUlKSXjdKVCHyFajxH6FDmArORq8XTk5Ohw4dmjRp0jGp1MHJadLs2b8UO5PTxPj6+vr6+hpmW5GRkSU2Vq5c2TABiHQmVyJDi7PASBucjb6cJJBptx/l4+Pz559/9vsZo1v07uuDHd/qOZg5adKkSfHGRo0aGT4JEQnIjGajT0tLe/AgMV8pSW3hBrjotpKGldGIn/KF5uXlNWnSpG+//d+Hgnnz5jk5OQkYiYgMT6uTOEygeh05ciQoKCiu/hhYWJ/4Yk3D2ZdQX/M8C21YyyDjt69GYNWqVX5+fgcOHJDJZAMHDhw2bJjQiYjI0LQqYGKXl5c3atSouLg41AeA+Pj4tL/+CmrXE+CJ12IlkUjGjBkzZswYoYMQkWDMYm/ixo0bT5/+awKonJycx48fCxSHiIgqgFkUsBIvwOJ1r0REomYWBczHx0fjvDUnJ6caNWoIlYfIALIKMHqv0CGI9MksCphMJtu1a1fhhWtNmzbt1KmTTCYTNhWRXqXn4Y8HQocQlV23hU5A5WQWJ3EAaNiw4eXLlz/Zl5qvlHzTL3jkXq2qV/OqcDfByQuJqASDd0I1z3CbuxSH24mQKw23RdNjLgUMgEwmc3Nzy1NA+12vjjX1GYiIzE+uHCoVcuT4v7OQq7DuEuz5dbyuzOIQIhFRheuzHXmKciyflofRe+G9ErlyuC5FVgEauGHBSaTmlm89VIgFjIhIF6ejkFNQjuXHH0SBApGTYWMJZxtUc0RCJkb4Yd1lbe/zThpYwIiI/udxKjptLHux8opOx7GH+KEvHKxQoMCIZlgWgKRsfNIeT1KRK6/4LZoDFjAiYxefKXQCc5JdgOScil9tTDpqu8JahpsJUCgxryscrWAhQ1Y+WlZFUnbFb9EcsIARGbs6q1DslnwkMl5OeJiCXDk+PQpLGRytkJEPuQJVHOBTGUoVfr0jdEQRMqOzEH/77bc9pyUKiUXz5DxIBpbdgcg4vPrxJZY/wdVwgn8dvLMVZ6MgAdqsx60ESIDW/0V8FuRKBO3BthuQSmAlQ2gvOPLURC2Yyx7YrFmzBgwYcOnSpatXrw4aNOjKlStCJyIykBOP8XcsFCxiQlvbE07WkEkhV+L6M3g4wNkWrTxR2R52lujfCIOaYHATDPOFrRntWbwSsxin58+fL1mypGjLnTt3UlNr63xXMCLj9ywTBUrEZuD7y1AqsYGf2YTmbI29Q5GQBe9VeD4TtxIx4SC29MfYAzjxEJtFf9MqAZjFHtidOyUcXY6NjTV8EiIDiM3AW1vw9hak5aL+N7C2QNMq+OI4MvIh536Y0BysIAXsLIXOYRLMYg+sVq1axRs9PDwMHoRI71QqjPgVravj+z5otQ5QobId4jMwtCk2X4OD1t+sXL9+fefOe5GqWgcsnsGmlz4jix6ngxKKWeyBeXl5adyxt2bNmu7u7kLlIdKf6wmIzcBSf1hIkZGLTztgdifEZmB2Z0SlIUu7C2937dqlvuH1nTt3evfufezYMT2nFrE/I5GYhUepuq+hsi1cbCsukDkxiwIGYMqUKYUVy83NrWHDhsLmIdKTuAzUdoFUgpOPIVdh8utwtoYEkErQsDKeppe9BpVKNX78+KIt4eHhcXFx+kosQkoVjj5EvgKHIjD/JKwtMPNP3dfWsDKa8uO0TsyigMnl8vfeey8xMVH99Pnz5+fOnZPLee07maDarridiKwCzAuDozWsZC+ug3axQW1XyFXYf7+MNcTExBT+sRTSuKe5OUvMRvsfMPcE5ErMOY7n2XCyxt0k/PkQ0WlChzMzZvEd2O3btx88+NedkTIzM6OiotCijlCRqCiVCgoVLMzi05TunmYgPqvsK5p93NCuBrptRlQqpFI0DUXEc0gk8A1FTDoKFBj5G4Y0AQBbCywLgGWxYS/x6Lqzs3OF/BYmYMxeBNTFgjfgvBQZeZj0Gpadw8a+GL2XX4YZmlm8Z5S4s6VQGGL+59zc3Ozscs8So1Qqo6OjdegoUj9ewxcnhA5h9L4+g9Qc/Hyr7CXX9UZNZ6iA3AI8eI4aTqhki1ZV4WoDR2v0b4hW1dCqGl7zhExSQve4XJsGn54t2uLu7l7imVBmKDUXp55gbhcAyJVjTEtMeA0qoIYzXG2Rx8M6hmUWBaxJkyaenp5FW2xtbb29vfW60TNnztSrV++PP/4IDAwMDAxUKrX9bHbgwAEvL6+aNWva29tPmDAhPz9frzmNQWY+skz/tyw3lQo7b6PjBqgA3+9wKQ41nDD9j7JnQHe2xo5BuD8Zle2RMxvf9UJTD/w0AK2ro6YzNvTFh63wYSsE+kJaUgF7ng2HOm2Dg4M9PDzs7OwCAwMHDRpkYWEWR2vKlJkPR2tYSHEmCnIlprYFAKkE6Xno44OcAs5qaFBmUcAkFtZrNu3y8vJSP/X09Gzfvr2VlR6nann69OmQIUMiIyPVT7dv356QkKBNx1u3bvXu3bvwC/O1a9fOmTNHXynJuH3zN748hXldIQEycmElQ74Sb9TCfy8jXIsvpCylkEkgKalElUkqlS5evHjZsmWDBg3aunWrk5OTLmsxRdUcka/AtWeYehg2FkjJxcknkCuQr0SuHJYyTDiES3G4FIcr8ZzBUu/M4lPV7w+wNbntzZs3p+xOzFdK1g6aOOG4fufgOHbs2Isi9Ow60mMAZGVlKRQKoIy7QR84cECjZefOnV9//bV+YpLxyi7A3BO4+hFquwBAnUoI7oQeW7DgDTRdC1eedS0QmQQr3kKvrYjJgEyKdt8jIw8qoNdWFCghV2DnLdxNhKUMAH4ehHqVNNdgJYM/v3yvIGZRwBRKKFRwdnauV885TwEX/U8glZb2z9lIJ+aq/1955utKlv8B7EvvmJ6ueZpz8RYTlpILWwvYmMWrsgyPUlHDCbVdkJQNFfDtO5BJYSFFrhwtq+FqvC7rdLLmFLEVINAXljIsPYMrcfB0Qo8G2HQVvw/HpmvYfBXHg9C8asnHZtUspNg71IBxTZpZHEI0vE6dOmm0vG5xzcOljOoFoHPnzhotXbp0qbBYRm/eCfx0XegQxsHZGknZUKkQEgYATdyhUkGhhKstXvNEvhJHHpZ7nS2qomW1ig5qlgY3xqUP4WyDs+9j2uuwlKJVNXg6wkKKltVKq15UsVjA9MLPz2/BggWFT728vP773/9q0/Gtt94qeg1p3bp1V65cWfH5jJVcyRORX/Bygk9lfHoE6y9DAow/hL7boZJgwkEcvA8pMOJXfHYUnx/FnOPI5CkwZJZ4sEZfvvjiiyFDhly4cMHJyal79+4ODg5adlyzZs3YsWOvXLni7u7evXt3a2trveYko7V1ALr+CHtLpCiw+RoUSsgkeJiK1DxAgioOsLeEtQUkvN0XmSsWMD3y8fHx8fHRoWPz5s2bN29e4XlIXLyccHcijj3CO1uwewi8nDBkJ65/hE/+xC+3cO0jofPRvzVyRz03oUOYGR5CpAojVyKRF8FUKAsp3qoLAG/Vhczgf6znY3AhxtAbFS9bCzjxHBnDYgGjCnMwApMOCR2CXplSBYUKGfn45Sai03CeNYyMlXkdQkzPQ64hJpAyUzwFwzBsLLSaN9LDHv/tXb41p+Ri2mH8cgsFCnj+H2q6wN0O4w+iiQdyOEkSGR8z2gNTqbDjFnbf5uXxJG7Nq6J19bIXk0nQu0E5VqtUYchOOFrj6Eg0coeNBRKzoFLB3Q7noxGRrHNeIn0x/QJ2IwG/3cXtRMw8AoUKMil+uo7kHKTnCZ2MyJiciUJyDla9DWsZotMwpzM+bIVrz7Di7RfT2BMZGxMvYGsv4p0tyC4AgNV/QyLB2/UQfAy3E3FT84ZHVGHWXMTKC0KHoHKKTIFfFUglOBeNfAXGt0EtZ2TkoYk7XG0QmSJ0PuNjZ/liyigSiikXsJsJWHwaf4/FcF8ACPSFszXuJqGPD1Jzy3ftjEKhMMztV0xDcg6Sc4QOQeVU1QGRKShQYsUF1HBBgRKP02BjiZRcVHdEbDrCnyIlFym5yOX3YQCAyMmwtxQ6hHkT5iQOlUol0W2W7PI4/ACDm6C6IxKy8CgFYaMw7wT23sOed7H+MlJztVrJzZs3P/744zPOw6xSI05Wjc4P2AbwVFkyQW/WxqdHMPI3pObCwQrV/w9puZBI4Pl/yFNABbT/AQ5WAODlhOsfCx3XCHDSTsEZ+l/g2bNnoaGhR44cOXv2xR3zzpw5c+rUqfz8/Pv3769bt87BwaF4i27bypXDzhIANl9DfTdUsYeVDHIlKtnC2Rpno8peQ3Z2dr9+/SIjI9FzWH5+/u7duyt538NbvrrlIdKN/j/sAYC1DLuGoM92KJRIyIJMgjqusLVAzwb46RpsLPFxa3zS3hBJiLRk0EOI9+7dmzhxore397Nnz9Qt6enps2bNCg4ODgkJqVy58vLly4u36Ly59jWw5y6OPMSTNNRwhscyhIYjJQeVvkJqLp6kwXEJKn2FSl/hna0lr+HixYuF9/RSS05OzsjI0DkSkQ5+e9dANczHDXcnYFN/1HHF0xmY2wUtq2OpP2o6w6cyqxcZHYMWMB8fn507dzZq1KiwZffu3S1btlQfTgwICNi/f3/xFp0392ZttKyGwN14lokjkUjPg0IJC+mLL7+kErTxROQURE7B7iElryEpKal4o1nd34SMQR9d5iPTkUSCGk5wsIKLjeE2SqQbgQ/iRkREuLm9mD7M09MzLi6ueMurrH9TP6y/gv+GIyoNI5pBAsikmNUJzb9DQF2sevvFMcaXadOmjUaLlZVVtWq8IwURkfAELmCJiYl16ry4O6mDg0NBQUHxluK97ty5U+JNRp4+fZqVlVW0RSrBuJZwt8XWG1jxFr48hTwFXG0glcBaVkb1AlCzZs3ly5d/8skn6qdubm7VGjSQSk351E1xiU6HpRRVdfySVExiYmJCN+6Pz++/fv1+x9dHG/gv16cyKvEe0PRyWVlZsbGx48aNK/6jadOmNWzYUE/bFbiAOTs7F5acvLw8Dw+P4i3Fezk6OrZq1ap4+8GDBy0sKvg3mjFjRkBAwIRD8LJq9tWgz0cc43TTRuS7cDhZ47MOQufQs6tXr3br1i1ZVgVDun745Yf1+jxsFrjIkMf/qzrAlQWMXs7CwsLW1rbEt2Wdz8LTarv6W7U2vLy8Ll++rH6cmJjYqFGj4i0l9vrwww+Lt69evVrLu2d5OsHbRduQvr6+vtFo4o4aNbTtQoahUkFpBhODBQcHJycnw72K+umDBw9coqKAWoKGIvofa2vrSpUqlfi2rFcCHA1TKpVK5Ys5X/v373/q1Km8vDwAYWFhI0aMKN6ijwzezvB01MeKiSre1atXNVpSU1MFSUJkVAy9B7Z79+5t27ZFRUUtXrx40KBBDRo0mD9//qRJk3x9fV1dXfv27QugeIvgpJL/3Y3JIOczU/nEZ8LNDpYm+u2kp6dnfHx80RYbG54jaBRyc3P37fszM/PNw4fPSOu/xbcHAzN0ARs4cODAgQOLtgQFBQUFBZXeIri5XWBrAQDLAtDEXeg0VMz4g/igJXrUFzqHfowbN67owRlXV9eaNWsKmIfU4uPjO3bsGJmQgw8vvvPOO62GfO7aczFrmCFxLhStuNu9eNBGi9tYkOEpVKZ8K7KxY8cqlcr//PT7QwuLN7p37zbps/Bcu7K76crDHl289bd60zF79uzIyEg4vnhTuHTpUqPmsYCXsKnMiokecyEyLePGjduzZ0/9+vX//PPPunXr6nVbNZ2xPECvWzAR58+f12hJS0vTsu+ZM2dCQkLu378/d+5cjYt/SHtmUcBkUki5W09EFcrdXfPrBCsrrWb63rdvX6dOnQ4dOpSWlrZw4cJFixbJ5ZzhXxdmUcDerodVbwsdgohMy6hRozRaqlatqk3HkJCQok+fPn366NGjCgplXsyigFnLUJ0nzRNRhRo9evSyZcscHR0BeHt7L1iwQP24TFeuXNFo4QyrujGLAkZEpA+ffPLJ3bt3q1Wr9vjx47Zt22rZq0WLFhotTk5OFR3NLLCAERG9kvLenlfjEGL16tVr165dkYHMBguYkRq7H4852QKRKerTp8+RI0c6duzo4OAwefLkWbNmVfgkrmaCBcxIXYtHYrbQIYjMQGwGVAafUdPf3/8///lPo0aNVq1apdfpbk0bCxgRmbV3tuB+stAhSCcsYERk1hQqKEx3GhfTxgJm7HpsNeVJkoiIdMYCZuxOPkG+QugQRETGhwWMiIhEiQWMiEhIUgkna9URLz4gIhJALReM8AOAPj7oxPu76YQFjIgIcZn/+1/DcLfDpNcAwNkaztaG264p4SFEqhh5eXk3b96Mi4uLi4sTOgtRORQo8wZJ/gAAIABJREFUUaBA8FEAmHUMKhVPmxINFjCqALdv327cuHFISMi5c+eqV69+8eJFoRMRlW3VX/BYhscpeP177LwNAH9G4tADRHNqeJEwl0OIycnJ06ZN+yWuvkpm9XjDjbwe3wPcaa8wY8aMefjwIRq/mGN7//79NWvVBSoJm4qoFN9fxpbrOP8B+myHUgVPRxx7hIVvYPFpoZOR1sxiD0ylUg0ePHjz5s15eXn5+flbtmw5ffq0yvDTn5mojIyMCxcuaDQ+efJEkDBEWlpwEhv7oq4rUnNhKcPh9wCgqQdkUk7MIRpmUcAePXp0/Pjxoi0JCQn8qqaiWFpaFm/k7NrGw9oC1jIAaOSOltWETmMc5ErEZaKpB9LzkJCF4I6wkALA41R80BIKJdLzhI5IWjCLd5n4+PjijampqUB1w4cxPTY2Nj179jx48GBhi6OjY61atcrsqFQhMRtV7PWYjQB0qok2QwCgex2hoxgNCyncbPE4Ff+9BHtL3HiGDVcAYPk5FCgAwO871PvnEPjyAPhVESwqlcIsCljTpk2LN9asySsvKsyGDRuGDx9+9CkA1KxZ882BA7W5t/qZKCw5g9+H6z0e2ZjFH3r5TG2LwF9xJQ62lkjIQnIOAPhWQUw6JAmIy8DibnC3g6UMDdyEzkovYRaHEJ2cnNasWVO0pVWrVrwHTwXy8PA4cuTI2rVru3fvHhERUaeOVh/11acvEwni0w5oXR0SICMP228gKiEDQHzkDXsLpUSCae3QtRb866CLN2xLLf8W0heHH5tXxZS2BolO/zCLAgZg/Pjxly9f9vf379q1a3h4uI+Pj9CJTJCHh4eTk5OVlZXQQYjKJpXgm7fxdAZqOCmrnvgg6QsnAIemN7u6aZqFBEu6oZp2H3E97HF5HAC426FnfX0mpmLM6MhCixYtumQgT4FWrQCeIkdEgIsNMlKSkq6fL2x59OiRrK28XO+NbrZ6SEZaMKMCppu8vLzly5f/+eefVlZWgYGBo0aNkkg47yYJwM4SVR0AoLM3PJ2ETmNCcnJy/v08RSrPBjjEIsACVobAwMBff/1V/fjo0aORkZFffvmlsJHIPHk743gQAHjYw4OnblYcmUz2r+c5yXbKDBYwUTCX78B0c+3atcLqpbZo0aLc3Fyh8piqJ2l4lCp0CDJXLi4uZbaQcWIBK829e/eKNz5+/NjgQUxZgRJbruPoQzzPKXthogrn4OCwZMmSBg0aAPDx8fnqq6/s7bmHKw4sYKUp8WTF2rVrGz6JMXuegwmHytdFpcL2m5h7Apfi4L8ZztbwccOsY7idiPvP9ZNS5O7evTt9+vThw4d//fXXmZkGvOeHeejTp4/60+rdu3d79eoldBzSFr8DK42fn9+AAQOKHkWcP3++tTVnAf6XxCwcf1S+LpMP49JTvFUPmfm4GAuZFH19sOcuHK1QrewLoM3O+fPn27dvr368bdu2zZs3X7x40daWp75VDBsLXugtVtwDK8P27dtXrlzZrVu3Xr16/fzzz1988YXQiUTvUhwO3seRkehYE0nZGNca/nXwVyzmdjHo7QRFRONVd+vWrc2bNwsVxvScfR91XIUOUR53k/DNX0KHMA4sYGWwsrKaMmXK0aNH9+/f/+677/Ic+ld3Lho96sPeEveeIykb87qgZTXEZeKj1lAqeSumEty8eVOj5caNG4YMUN1R26t6xUh0u1/3npf7mIepEts/HYmfjQVy5VCpsPZv1HbFjQTcSwJUOPEIzjYIf4qD92FtAQBudmhRVei4RsDb2/vZs2dFW7SZK/nVVXVAbRcAmPy6AbZGWnny5MmePVfu5jQ8ciS6e/fuQscRmJnugQ1ujFaciV4g/nVwMAKhl5CQBRdrzDmGffcBCULCkJEPpQpT/8BXZ/HVWazSvMuYmZo6dWrRp9WqVRs+3BBTIAfURUhXA2yHtHX06NFatWr9+OOP9+7dCwgI+PDDD4VOJDDz2gNzt0eeHAD6NRQ6iil6nIrIlLIXq+2Cr/zx8UFIJbgcBwsp5ErYWiIuE3IlrGVo4o49Q/UfVzyGDRsmk8nWrFnz7NkzPz+/kJCQatV4Xy9zNHHixKJP1/92usuQ68P9mwmVR3DmVcDGtRI6gelSqvDdRTxKxe1EJGYjX17awiP98LoX/nMeRyKx1B/xmXiQjG/eQdO18K2C7QMNFVo8hgwZMmTIEKFTlC0/P3/NmjUHDhxQKpVvv/32lClTbGxshA5lItLT0zWvTG00YNOlvOH+AgUyAuZVwKhiqVTYdhNrLuJhCtr9AAXQ1AMTD0EiKfs+KT5uGNIEkckY0gTf/m2QuKR/48eP/+GHH9SPw8LCrly58vPPPwsbyWQ4ODi4uLikpv5r0hptbrxnwsz0OzCqELOOY/XfGNUc1R1xNwlJWXC1QWI2ErN1XKFEAsOc5pmTkyOXl7qTSOWXkJBQWL3Ufvnll4cPHwqVx8RIpdIPPvigaIubm5uW994zVSxgpKOHKfjxKg4NR+eaSM/DgEb4uA2uPcPKt/HgOZQqXdbZoipaafHlzo0EbNX1NPLLly+3bdvWzs7O0tIyMDAwOTlZxxVRMSXWqgcPHhg+ialatGhRcHCwk5OTVCoNCAgICgoy89vvsYCRji7HoUMNuNrgUSrS8rDUH62rIy0PXbxhb4VYnS7ncrCCnWXZi12Nxx86vSumpaX179//r79eXAW6fft2nsdVgRo2LOHkqCZNmhg+SXk9ePBgwoQJACZOnBgTEyN0nJeysrJavHjx5s2be/fu/ccff7i5uQmdSGAsYKQjeytk5APA12dRyRbtvseQnVCqYLkQSdl4nAbJ/Bf/1VwBlU47ZBXu1KlTUVFRRVt2796dlZUlVB4T4+LiMmfOnKItU6dO9fT0FCqPlh48eNCuXbu1a9cCWLNmzdChQ/Pz84UORVrhSRyko4418eF+rLiAS09RyRY7h2D6n4hIwv5AfHwQD5PRryG+7yN0yn/T+AJcLTMzk7OPV5SFCxc2bNhwy4HTCsiGBbQeNWqU0InKtnz58qSkpMKnKSkpeP4c4IUKIsACRjpytMLWAei9HTIpYtPR9UfIFbCxwLj9uJ8MlQoxZR1FrOuKng0MkvUfhVPiFmrYsGGVKlUMGsLUDR8+PNp7eHoeRncTOop27t69q9HCPTCx4CFE0l1nbzycgk87oJIdtg7ATwPQrQ7CP0Sb6mhRFf/f3n2HNXW2fwD/JgHCRvZ0sNyo4N59raKte7WKe69iHbWW2p9FrVSrr3XXPVpxVFGso1q1KuJCREFEkCGKhL1HyP79EV5KASEJZMH9ubh6JU/Pfc4dCblzznnGtal1hLdqhuW96pWAUAyRWI7tXV1dt23bVvHUxsbmyJEj9cqA1EQzLhjLytXVtUqLrq4Md2KJBqACRurF0gBj28LCAKPaqKgHfGXBsTgfCwClAvDrGnkmtXz58ufPn2/bsevAgQNRUVG9e/dWaoZE8y1fvrxKC3WO0BZUwEjDc7OAm4Wyds4VIi4bqUU49wqZpUjIweNURGciMqPuWKnOnTsnuH1h1X8eXTxUthKBggMqVKljx44RERGTJ08G4OPjc/78eVrzT1tQASMNz8kUTqZK2fOfCWizC+deITYbk87ByRTD3LDoMgD5OjoW81HEU0qGpLJl13AuRt1JyMDT0/PkyZMAAgMDa1yHnWgm6sRBtEZKIWZfxMVJiMvBjkdoY4kXmehiCz0WuAJ1J6ep0tPTT548mZ+f369fP29vbxUfnScET7ZLu4QogAqYZsnhwkQPeix156GRTkdjYnv0cERYKqIz8Wwh1t5GGAe/jUWfw+XrDJDKnjx5MmrUqPT0dOnT+fPn79+/X/bw/Px8LpdLM98TjUWXEDXL6hs4qw2XXCrTYUJHJe+jrJLyK5PnY9HcFDODcfsNkvOw5AoA/BKObgfKf5ZclXWfCblacJNGYYsWLaqoXgAOHDjw999/yxLI4XCGDRtmbm7u4ODQtm3b+/fvKy1HQhRHBUyzCMUQytMvXBO4WeDOTFUcqI0VHqQgnIOnHHg54JfhcLOEszn2j4SZPoRirBmA/SOxfyS+qjrc64OmnJej94d24fP5T58+rdIYFibTzP+zZ8++fv269HFcXNznn3+elyfDUm+EqBYVMNIALA1UcRQfD7zJx+RzABDyFrMuIpyDMiG+uYkSAVhMXHiFrvboag/nZrLuUyyRbySZFtHT07O2tq7SKEvHy8LCworqJZWamnrv3r2GTI6QhkAFjGgNAx1cnwp3S/BEyCyBWIKPnTHYBav7wkgXY9pgdT91p6hhqszk5OjoOHz48DqjuFxu9cbi4uKGyopIicVi+letJypgGqpM2GjPDOrDzhhXp+DgSEzxwItF6GoPNwsMdgGbBWdzdKh6vtHUbdiwYfXq1TY2NgAGDhx48eJF6ePa2draVu9KXn0WLqIwoVDo5+dnZmZmYmLSoUMHOrtVGBUwTZRRgpgsnHkJAHwRRI23l0FDsTCArbG6k9A8bDZ706ZNGRkZEonkzp07Xbt2lTEwMDDQycmp4unhw4dbtWqllBSbpPXr12/atEl6+hUTE/P5558nJiaqOymtpP5u9Hw+n8ViMZlMkUgEQEdH/SmpS+g7xGQBDJx9XmrI1Dn8lLm6D1MoZvKEMGnSq9bVzc0CLc3UnUQj0rVr1xcvXty8eZPL5fbr18/Z2VndGTUqJ06cqPw0LS3t4sWLK1asUFc+2kv91cLIyKhicfclS5bs3r07NDQ0JCSEz+e/fv36wIEDxsaN/6u1RIKZFxHOAYCbUempImsUvkfSrU4rbOA0Qt3ZkaaoWbNmEyZMUHcWjVNOTk6VlsrruRDZqf8S4owZM7L+Z9OmTYWFhd9++62fn5+/v7+VldXWrVvVnaAq7H6C1EI8X4gWzIzU7BJcWwZje7y9l2Xsoe7USFPE5XLXrFnj5ubm6Og4ZcqUKquANm7WRvCuOj19A6s+hbSMtxj5fP6GDRsWL1587dq1iRMnVi+ETY2aC5hEIjE1NbX6H2Nj46CgIC8vLwaDAcDb2/vSpUvqzVA1gmLwbX/oMhGTwYNEgpRH4BWi7Ug8PwzgeTqeppX/5JepO1cNwGaBrf5rB43ZsmXLAgICEhMTORzOyZMnhw8fXlbWVN551ob4eahyD7Fjx47KC1VPnTp1xAiZLrSsWbNm7dq1HA6Hx+OdO3fu+PHjTXzpMjV/DAiFwvDw8AEDBkRFRfXr1+/QoUPx8fEVaxk4OjqmpaVVj+Lz+S9evKjerr1/Y8V8mLJRzEca7JEehBH7wDZFi4EwbQlg7kVYGQEAkwHfnpjWSc3Zqt2E9hjTVt1JNF5lZWUHDhyo3BIdHR0aGjp48GB1paQaX/RQ0YHatGkTExMTHBycnZ3drVu3AQMGyBIlFosPHTpUuSUnJycpKQnQiD+GsrKy6gPnAXh4eOjpKesevpoLmFgs/vzzzxctWpSXl/fpp5+uWrVKX1/fxcVF+n+NjY0FghpmaX306FGNNzzfv3+vpfMFdHNAcCwA2BmKU+KvIXIK/ArwYAtCN8NfIhTj7iwY0Rp7/8Nk0HSRSpSVlVW9MTU1VfWZqNiuT1R3LFNT0+nTp8sVUlxcnJ+fX6WxqKio4ZJSXF5eXkpKyoIFC6r/r23btslYoRWg5gLGZrOXLFkCwNLSctWqVevWrRs6dGhJSYn0//J4vBqHrQwYMCA8PLx6e6dOnczNzZWasJKs/w+8DiCzBEywDcft5w7fK9HRR09fowHLS4D0EvwWiYXd1J2lJuFyuT/88MPhNy46Yq74boHY2U/t18MbDScnJ2tr6yplzNPTU135EClTU1MXF5ekpKTKjXZ2durKpzJzc3N3d/caP5aVSs1/85UHohsbG3fq1MnJyanijnFWVla7du3UlJpK2RghbC4md4S+LqxN2cv76bmZ8o6MN4z6yhbA43mY3lndKWoSiUQyefLkgICAzMxMDofz3XffRUZGqjupxoPBYOzdu7dyy5dfftmpU5O/cq0BqvxevLy8mjdvrq5kNIGaz8B+/vnnr7/+ms1mSySSa9eurV+/XkdHZ/v27Twej81m37lzZ9q0aerNUGUcTHB8DGYG4z/OmNFZ516KTseWBi7mANCqGQzp+mElr1+/vnjxYuWWlJSUggIXgMaCNYwJEyZERkaeOnWKy+UOHjxYxi4GTROPx8vIyHB0dGSxlH5de+jQobGxsd+deBIhdvnp3Lk4m/ElTXslPDUXsI8++mjSpElubm6WlpYLFixwdXUFsG7dOl9fXw8PD3Nz89GjR6s3Q7XT14EB9bj7t+Tk5OqNGRkZVMAaUKdOneisq3YSieS7777btm1bWVmZubn5zp07p06dquyDtmnTZurUNoJnGD/eI6DJT0Gl5o/G/v379+/fv0rjjBkzZsyYoZZ8NBCToe4MNE+HDh2qN1ae+ogQFfj5558DAgKkj/Py8qZNm9ayZcvqH2hEeei+N1GznJycZ8+excXFpaSkyBji5ORU5eaoubm5oaGhErIj5IPOnTtXpeX8+fNqyaTJogKmWRiMpnXKdf/+/Q4dOhw9evSvv/7y9PTMSn5pJUMZSk5OfvXqVeWWvLw8WpmCqFhhYWGVloKCArVk0mRRAdMsawdiVNWFLLRASUnJsmXLZs2aFRwc7O3tnZmZKUuURCKZOnVqRkb5isg5OTnnvug40Kru2NjY2OqNHA5HrpwJqafqw5sGDhyolkyaLCpgmsW5GczY6k5CfitWrNixY0dRUZFIJLpx48aJEyd4PF6dUQkJCeXdMUpzUFo+6ujJkyd1Brq7u1dvtLe3lytnQurphx9+qNzP5bPPPms6vaY1BPVvI/UlFApPnz5duSU/P//Nmzd1znDzz12rFycrGmVZfMDV1XXKlCmBgYEVLc7OziYmJrLnTEj9WVhYRERE3Lp16/379x06dOjZs6dSDycUI/QdPmql1INoGSpgpL6Kioqq3wyomE6lFo6Ojr169Xr06FFFS6tWrbp37y7LQY8dO9alS5ddMfa6krIVk/ZcM+8oV86ENAgWi+Xt7a2aYyXnY/4lvPZVzdG0AxUwUl/m5uZubm4JCQn/NEkkDg4OssSePHly5syZISEhADp16nT06FEZOxPq6Oh89dVXubdgwsbifrh+uu4QQrQaLcxeHRUw0gB27949bNiwiqdTO0nWfCrTHSlnZ+e7d+/m5uYKBAJbW1ulJaj1cnJyTp06lZGR0blz53HjxjGZdPeaECpgpCEMHTo0KSnp+zNR4WXuu27e/Pjjj+UKt7CwUFJijUNcXFz//v0rZtf9+OOPr1+/roKJi4hmuvcWD1MA4GUWipv0cmDUC5E0EGdn55mfj/5Pj/byVi9Sp1WrVlWeG/7WrVunTp1SYz5ELbhCCMQo4OF4JIoFCI5FVgmyS9WdllrRGRhpMIOcMchZ3UnUpaCgYMuWLdey+0UUvxAOsgRmqzujulVfpSIsLEwF0+4RDZFWjCVXcCMJZULYboGjKdpZ48trcG/yVy7oDIw0ISKRaMSIERs3bszMzIyOjp4zZ45WDH+uvioe3S9sOiQSTD2PFmZ4PBdOpjBhgwHkctGvBZKrLm/Z5FABI03I/fv3Q0NDK7dkZGSIxWJ15SOjmTNnVn5qY2Pz2WefqSkXompPOMgoxrah0GUhuxQT22OQC15nY0BLvC1AejHOxpT/3Eyqe2+NDF1CJI2BkS6M9ereLD4+vkqLSCTKysqCk0af0Hz55ZdlZWV79ux5//59t27dfvrppxrnIlE7iQTFApjI8Iv4EK4Qukzo0PfqSlIK0cYKTAZC34EvBFeI+BwIxbiRCDYLqUU4+7J8S7YOBjk3rclUqYARNfvzzz8vXLggEAiGDBkyadIkxTqInxwv02Zt21adHITFYllbWytwRFViMBjffPPNN998o0BseHj4sWPH8vPze/fuPXfuXDZbiTOV/ZWEwxH4faLie1h7G+4WmN9V7sBX2WhuKtOXGK3T3BSx2eCLEHAPVkY4Ohr7niKcg3OfYfCvCE3B0p7o10LdWaoJFTCiTps2bfLz85M+Pnbs2O3btw8ePKi8w/Xp02fo0KHXr1+vaHFwcGjEY6qCg4PHjh0rfRwYGPj777///fffyut/zxOCJ1LPHtbeho8HxtYxeZlW6uYAWyN8Goi0IuixsOQKTr+EKRvf3ERiHvRYWH0T97WgK5JSNNo/XaL5ysrKKqqX1KFDh16/fi37Hoz05PvSnVLI2Hr04tatW52cnHr06HH+/PnG3RuiyklbSEjIlStXVHDcXC5yuACQWYq8MhUcEBIJxI10pgomA4HjIRBDJEERH0cj4WQKayOYG0CXCQsD+HioO0X1oQJG1Kb6HSkA0dHRsu9hTX/49pDjiKejERjDXrly5aBBg5YsWVJxdtIo8fn8uLi4Ko0vXrxQ9nElEpyOxvlXEIoRn42YrLpDSO3sjXF3Ju7NhoMJ8lZj/X/gboHVfeFiDidTLJFp9lAAiMtByFtlJqpyVMA0jkAgOHLkyNu3bw8ePPj2rdxvtxXXwRUqI6+G16pVq+qNbm5uyjuiBJCo6Xv6H3H1vbwmLz09vRYtqt4bUd4/b1QGTkcjOhO+f0ICGOpgX9XRa6RezNhgs8CudAG4hxN6OMqxh1tJOPOy7s20CBUwzSIUCgcNGjRnzpzMzMyDBw96eXnJ28n7zEvkcRU5tN8tRaLqw8TEZOnSpZVbRowY4eGhigsiT1IRlgoAnCLkyDOXwa4wBQfffHMTSXmKBNZHlSu0HTp0GDVqlDIOtPUBRpyEGGDr4GAEeAJRd6vC7+9ApOjXhaQ8CDV9dIP66bNgoJJuDH8maGgffSpgmuX333+vPFApNzfXMCtcTyWT3m0KrXubBrd169ZNmzZ5eXl5eHh8/fXXp0+fZjCU2AtYJIFIggcpSMpD4AsU8VFQhsy6F375xx9xSMhVWn4NbeHChcePH+/Vq1fbtm3nzp1769YtAwODBj9KZAa2PUT4fPh0RHEp3zDpj+ykyKC7L8WRJ7KLFTzrXHgZoe8aNk2tp6O+AQYPUvDovXoOXTvqhahZnj9/XqVFcHSwzo6qq201Grq6uqtXr169erWyDxSTha/+wq03kEiwPxztbWCsi3V3lH1Y9Zs+ffr06dOVeohbSZjYATZGeF8gfl/MkDh8DF0jAPnoDRH2h2P//64lDmiJuzNl2qdYouDZm98trO6LZvqKxGo452a411R7G34InYFpFkfHqpe0nZyc1JJJY5JdimEnMK4dvh+IQc5wMEFsJrzdcDwSdJmq/gTi8hsz+x7xJNkJ2GiMR9vBzYU/A6XZlmyBeC0k30PyvazVqz6CY5FerPSjqIulAbKysm7evJmYmFh9hswmiAqYZpk4cWL5UpASMcQiAAsXLlRzTtpvdxjGtMVcL/DFCE3B/w2EoxmuvsbnHcET4U0+nqaV/zTizz7l6dscwbG4GIt0ri7yEgHArjMKUgCAVygQM4JeKT2HsrIyLlehe79a5cGDB506ddq9e3d0dHT37t2vXbum7ozUjAqYZnFwcLh8+fKwYcMsby/uYCnYtWuXry8tIV5f8bno6QQAfyfBwQQ/P0RGMZ6n4+E7iMXY+wQLLpX/HHmm7ly1UL8W8HbFzIvIKtNB6xHwl6DVf2DXGf4SmLsUCnR+UeapwoMHD1q3bn3lypVp06ZNmjRJ82e2rI+FCxemp6dXPL13717lp7ILfNFI+tPTPTCN07Jly65duzIYEdbW1l5eXop1auAK0eMgXixq8Ow0hVAoPHz48PXr15lM5siRI6dNm1bLhBq2Rnibj7gcRKRhlid2fYJeh6HPwp2Z0N8IJhMP50KXvsvVw+5P0ac5fglHTIZA8HhfUUEemLp2L3cyliWN6miwb7iyjpuenj5x4kQOhwNPADhz5oyp6zbAQVnHU6uioqLqw/jev38P2Mm7q0fvkWeJAS0bKDP1oQKmWUpKSvr27RsbGyt9+uuvv16+fHn4cLk/AHhCvG+0PT8AYN68eceOHZM+DgoKioqK+u9///uhjWd5YuhvuPUG1kaIz8GGEDxLg7cLDjyFRIJiHg5FYFE3+RII56CrPZTZZVLL+HjAWA+Hn+n+tnjGsqCMUiHrlwkLJ1wycDVX4kFv375dZUGc4uJioVCowCfb3bt3ExMT3dzcBgwY0HAJNiRDQ0MzM7OCgoLKjUZGRurKRxPQ107NcurUqYrqJeXv76/KBHgi3HqjygMqIjk5uaJ6SW3bti0v74PDrDxssHc4wlKRVYLQFGwKhYUBigV4mgaxBF0dYSl/3/LRp5EhT//7CudiFInSIqampu7u7i4uLubm5o4msDNW4rGqfJoDEIvFZWXyzV7F5/OHDx/+0UcfzZkzZ+DAgSNHjhQIBA2XY4NhsVhTpkyp3GJubu7srNI1ZMM5yFfJ3GAyogKmWarP/aPivkaJuVj6pyoPqIgqNV6q9kkUx7QFZyVmdMHYNuCshLcrZnXB/hFgszC7Cz7rIHcOEgkU6OYtkeCzs/KHaQljPRjpqvSI/fr1q9Kir69vbCxfzdyyZcvVq1crnl6+fLmWs3n12rJly8KFC/X19QF07959ypQp0scq82Mobier8oB1oAKmWarP9OPp6amWTDRZjath1TlJkokeWpjB0RRmlVYUaWUOd8uGza7pGuSMk+Nx9erVCxcuXLlyJTg4WNlH7NixY0BAQMVTR0dHOzu5bwiFhIRUabl79259M1MOQ0PDX375JTAwcMSIEWFhYfb29qrPQV2TsdWICphmmTx5cuvWrSu3rF27Vl3JaCxXV9cq11J8fX0tLesuRAxUvWtloAMduo/VcH788cfhw4c/efIkKipq7Nixz54pvVunn59fXFxct27dVq1a9erVKwXOSKrfRtLwG0ssFkt5a+JoF+rEoVlMTU3v37+/bt2bGMi9AAAgAElEQVS68PBwa2vr5cuX/+c//1F3Upro2LFjXbp0uXz5MovFGj9+vIyj5Xw8wFftjLpNSkFBwbffflu5JTo6Ou/jVoAyO3IArVu3btkSPT1ampgoEj5+/PgLFy5UbpkwYULDZEaUjAqYxrGystq1a5e6s5CPUCjcunXrkSNHiouLP/roo61bt5YPx1YaHR2dr7766quvvpIryslUSekQAHj1qoYRy6mpqcouYPU0ZcqUxMTE77//Xvr0hx9+mDRpknpTIjKiAkYawLfffrtlyxbp41OnTkVGRoaFhWn4dRjS4Fq2rGFgkZWVlYzhDx48ePJEN5mV/7GxI9C+QVOrw9q1a/38/DgcjoODg66uajuiqMqrV6/++islTWTxoBkf6KPudBoG3QMj9SUWiw8cOFC5JSYm5u+//1ZXPkRd7O3tP//888otTk5OMq557e/v37dv30ePHl26dKlDhw6KTTBRH7q6ui1bttSu6jXEFZ/W0J+pBidPnmzfvv3FixfDwsL69u0bFham5NRUhM7ASH3l5eVVH47z7h0thtEUHT582N3d/fBrGxHLcNbq1W+9+skylczbt2/XrVtXueX169cikTVAXRVq01226/QikejLL7+s3BIWFja8pxtgoZS0VIgKGKkvS0vL5s2bp6SkVG6k3v9Nk5GR0YYNGwxDUcRDwMeYfqHuEAARERFVWgQCwfv37+Gm/ZMdaYD4+Pjs7Owqje/evZOlgJWVle3YseO3OAemWGAYni92WKZR1+00KBWivbZv31756eTJk/v0kfUie0pKyv79+3fv3l3j8GTSFNQ4eMvCQuvPDzREjf+8ZmZmssTOnDnzm2++efv27Zs3b1auXFl9wUL1ojMw0gDGjRsXFRV16tSpkpKS/v37jx8/XsbAa9euzZw5MyMjQ/r04MGDc+fOVVqa/xCJRCIR6AqVhujatWuXLl0qfzja2NiYKNYpvgno5QRzeUa7NWvWbMKECefOnatosbKyatGiRZ2Bb968OXPmTOWW5OTk/HwXoJkch1cmKmCkYXh4eHh4eMgVIhKJKlcvAPPmzRs+fLhS5xeIiIhYvHjxY4fFgUm3brQXCPv/Sn8FymNp+K95Tz5ET0/vypUrvr6+l4S6OgYGMxctetVepb0QtYutEWzl7OF79OhRa2vrYy8NhLq6I8eNMxs5Upah0AkJCdUb09PTNaeA0SVEgpSUlC+++AKAr69v5XKibK9fv65+OKXO/VhQUDB27NjHjx9Ln546dert20axLJKm+nkoRrWRaUsHB4egoKCFCxdu3rx57969NNNEwzI2Nt67d+/WrVvnzZsXFBQk4xCXtm3bVm+svmq8GlEBa1RiY2PLysrkuk795s2bnj177tmzB8Du3bsnTZqksqm4zc1rGN9aY2NDCQkJqdI9Mu/pOTNWqfKOKJWQkFBUVPT8+XOJRk0kR0itmjdvLv1qW6F169YadWmXClgjIZFI5s2b165du9zc3OHDhw8fPlzGz8rNmzenpaVVPM3MzKzeYUlJ7OzsqkyU1aZNm27d5FyYSx75+flVm25+YyJR7sppK1ascHd3f//+vY+PT69evZR6LEIa1s6dO48cOdKmTZv27dufOHGiY8eO6s7oX6iANRKnTp06dOhQxdMHDx7IuCpS9b5/fD6/ITOrVWBg4OjRo6WPBw4ceOHCBaUuD9GjR48qLS4uLgrMXy67K1eu/PzzzxVPnzx50hROwnSZ0KGPlkaBwWDMmjVr4sSJkydPrjKDtiagd1kjcevWrSotQqFQlkBXV9cqLaqcjMDe3j44OJjH43G53Dt37rRr106ph2vTps3WrVsrntrZ2f36669KPWL130ujFxISkh78TfHV1Tdv3lR4J6LGX+VJA6AC1kgYGFRdVFiWGRAALF++vEqLLOuSNCw9PT2VrcsnHcsyoXeLb+aPf/78ed++fZV6uOq/l8Zt69atAwcO/O+WzT9v/WnIkCEyrieeVoyXWSgpKfk7rvhaVA6fz3+RiehMOY7LE5XXPL4I4kZd/MRi8fPnz+/du1d9+psmiApYIzFy5MgqLTo6MvUO79ixY0RExOTJkwH4+PicP3+ezZah47M269y589lVH/24eJSM0/TVx/Dhw5V9CM1RVFS0atWqyi3r1q2TpV/rxVisCea49vjkZQ7raqJu554DhAKRQFz3Ef9KxN9vwBfhTjLORANAaiHeNd4Pdg6H06dPH09PzwEDBri7uwcFBak7IzWjAtZIDB06dOfOnRVP586dK/s5jaen58mTJwEEBga2aSNbr2cimz59+hw+fNjGxkb6dObMmTKeGWujly9fVm+MioqqJeR9ISaexfLruJhqmzHyIjJfIj0i1t6nuKS4zsOlFePAUxx4io33wGbhr0Qk5UGCxnwGtmDBgopBIFlZWRMmTEhKSlJvSupFBazxWLJkyeHDhw0NDdeuXVtlalTSIK5du5aYmBgUFCTXaLnZs2cnJiY6Ozvfu3fvyJEjyktP7Zo3by5jo1QRH4N/hZc9ZjaPQ+IN8Itg3Q6cx+jwmUjMyMur1mW0km0P4bkPr7LxPAM/3IWNMUa1wbJrDfAqNBaPx7t8+XKVxjt37si+h/hcvM4BgNhsxOc2XGbqQwWskRAKhYMHD54zd16pWHf9Tzv79P+ohN94v4iqw4IFCz755JM3b97s27evc+fOco2WMzY21tfXV/3NRRVzdHQcM2ZM5RZvb+/WrVt/aPtDEejhCL9+YECM5n2RHgVeETrPQm4C2MZ/JhssuAzpz4Gn/wq8+xZ7niBqEca3g4EOFnRDch7aWSE2G424j6dYXMNF1Robq+AUYVcYeCL89lwSkizhFCGzBGlFSkhR5aiANRJf7Ll1OywanadBxxB9Vr5NzZTlFgKR0d27dyuveZaRkUG30Gt04sSJ5cuXt2zZskWLFkuWLDl79iyT+cEPmfgc9G4OAClMNxYvH6//QBEHDCaiAgEY6LO72kP60876X4HHnuPrvrAxQmoRXufi4XsA2PIAYgkEYiy9hm4Hyn8231fmq1UtAwODwYMHV2msMpKyCqEY+8LxaSBW35BYrY7Pef+anxrRftnVUi5XmZmqDs0Cp/WepeOHEPyR+xHm3IeRLcpy4PYJYs7KtZMCXvl/C8qQWaKUPLXagwcPyh8ZWkHfDIBAwirjCwBtWv9QBYyMjLZt27Zt2zZZNrY2wrsCpBfjzjtd3fQw0dODaDceDB2E72MO3RqXbTSjC9g1TSmVXwZbI4gl+DMeA5sL7eMOvC4bBiYWNE9enT+oiy38+pdvaW/ccK9NAxw8eHDMmDGRkZEAbG1tt2zZUn0YTGULLuNdAWZ64rtzScX6TmCLkXClwKlvSWqWh52j7JNZpxeX/yLyylCiool6ZEJnYNrtRSa8f8NQV9hI0lDwDtx86Bjj4TYMWCvjHuJzIZFg/V0A2HAX2aUoUt04ZvVITEz87bffzp07V8PEHB9QvrRHs1aw7QSveQDANisQyFG9BOLGfHVLMVM74cgzfHEVhsyyMj0r9PdDq4Eoy0XX+WIJBCLJvg/Mi9nBGn+/QeALMICYG78e+WFJqZBRmPT466kfMyG+mYSWZuWnbg4aNO1RA2jVqlVERMSzZ89CQkLi4uKmTZtWy8ZhqbibjD8mo6VebgnDGDHnwAlDy4GIChQa2iVmFN1MgvTnRa0jFvginH+FczEQihGXLd/wBmWjMzDttuovbB6M2Z745YE1R9AMlxZg/Enom8LYBmDcrNRBqatD1SUY/ohDwD2EcWBrhMIyADj2HK00ZZppZdm+fXvF0DdbW9sLFy707t27lu2FYhyMwJbccZjmAgNz5L+BXRe06CfXQdOKkZSHy6/R1hJUxSq4W2DfCMy4ALFIBw5d4dQTZflg6cGhK5g6zqY8I92ae9Ku6I1uBxD4AnyBsNjyY3yZCNMWsC3F9BsiMXgi7HyM9bVdWtNiTCazS5cusmwZzoG3Kwx0EJkmhoE5TOxh2hyG1nDwApOVUGxccX3Vzhi/ja0afjEOhyPwrgDNzWBjBAmw5wkAzfoeRmdg2i0yA5+4A0BqmVEnG6HxwOVgQMdzhqO1GYAfQ7H5Pjbfx9YHeMr5V2DQK6y4jg2D0NYSurxcfmYsAMHtDT/dahSdkz4gKSmp8sDtjIyM2bNn17I9X4RBx3E9ASxBEZg6sO4APUNEHMaw7QCEwjoupjxPR0AofovCiusw0MG2RygRgCpYZWPbIu0r/DyoBDdW47+OeHkW0adxaQGLn7ewF3uuV81RFgYImYVuDhCIJNC3RG4S0sIRE4TQzZCIVnYrnd9VtS9DIxnpoZAHsQSnkqx0Ct/j1yGICgS/GL8OQd4bEVjnPsONabgxrYbqtewa/O/Azhi6LNxMQjYXQ1zx4z2NG6JABUy7meghpxTXEsAV4v8G6a+2v8mCqD878vQoLoBBzuVv0GtTMdjlX4Hf3MSxMRjiguyispSsYuEfCwAUpsam5AuFIsnTNFT8NKbOIA8fPqzSEhsbm5n5wWsiPz+CnTGCJ8HNXAzrdgiaDB0jiAUQlIDB0NH54CVEiQQLLmP4SewPx8YQ/P4SzQzQwxEbQxrstTQaRrqY18fs0AIvcMu/PFlbW3ey13O3qG3AnJMprk/FyY6X8KMJfhuCgvfIiELSTfCKR3QwdDJVSeqazdsVt97gpwfI5aKVo7V5xyHoMAHFaXDoamNjY8Jm/PSBHi53knE9EaGz8VEr5HKxqg9amOJ5GqZ11rj7C3QJUbv5eMDvFpLzYKEvXvB/e3IzMzFM9/Zfl/tfOoPxJ366jzmesKt2H1soRnI++jYHT4ScMh1kRsF7GwAM2gCRSCRhzP8DFcNtd32K3k4qfVHKU+MySLXM9vT3GyzrBQClxi56rCz+6KPQNUL/byHkgsEYcBQ6//tXWtkHa/r/E7grDPE5iPfF9GA8S8PagfghBD4eWFJ1GA8pN2fOnD59+sw8U2ir23bfrG/WR1hYG9YdVX3CT0ZJhqmeKa21DcDeGPtHwCcIuiykCExYk67rCEV64DuvDk0q0tcX401ezYG3k/FZBxjpIjEP6SU4GIE8LgQiRGeihI8dj3EoonxLb1ecnqCyF1QDKmDabc0AjDiFN/kQCoS89nPRxQQSITymSutPD0fE5dRQwHSYMNZDZil+iwRDLMCN1ciKgb8Ef8yDnhEmX/TpxFhZ240hbTVgwAB7e/vKy8d88skntaxvxAAkEuRw8SSN6VJ8P/bIXMx/guxY9pW5/GVpo9tg5yflmzX7982aky+w1RuGunhXAL4IqUVgMbD5PlzMkcvFgkplbGaXxvP9oD6uXr06b948TudvkBsfe3zJ77//3sm27js91Zf+kQT52K6/DZgpJ00tM6oN4nxxLQGvkjind/1faqm+0KZD3rONdstiu7cyOTm+5igGIJZAIsGvkehiiys++OIq/k7Gy8Vw3gETPUQtKt+yxj6iqqSJlxBDQ0MDAgL8/f19fHyKi+ueUaYp02Xi+hTcnI6OmadxdSn+64CSLJybhHOfA5Ib0zCwZc2Bs7pg4WVsvAc9pgQdJmLMUQCwagvXoQxgYwhyGslAkX+xsLA4c+ZMxdDaYcOG1T41hrcr9j/FxhBYMotiI5+ApQdjO6Q/5/F4Eon4j9co4sFcv2r1ApBfBitDFPLwIgP9LDJCz2znc0vio564F98HoK+DihFOZo184kmZ5OXlzZkzh8Mpv08bHx/v4+MjS2D1DjgdLQWW5lS9/uFogjme+HPtkNS75W91DoeT81fAeLcPfrQOccXJF/gtCjwhLNn8ZcuXn733Ojcx/Ouvv9ZniUsFCH0Hc32Y68NQ3aNINK6AFRYWfvvtt35+fv7+/lZWVpUXvyAf0ssJXYX38eIkSnPKmwo57qFzawn5cTAEYvBFMNBjoedStB0DAHadYeHKYGBiB+TLtJqY9unfv39cXByHw8nLy/vzzz9rXwxsaU8UlOGXcHC4+vjoe6xIhY4BenyJpYkAExKcjak5sLMdriVgUygs2MI/9695FbhSwmCWPDl2auUAADcSMcsT87tifle0t655D03K48eP09PTAUAshFgI4NWrV2/evKkz0NPT8+uvv654amVltW/fPqWlqa3evXsXE/Ovd2rhzU3GaR+8H9u3Oca0xRd/IqsUV14zjlv/xDdz45l3PGTol1nCKOXj5AvlJy0bjStgQUFBXl5e0glPvb29L126pO6MtEP1+Q5Mcp/Xsj2bhcuT8Xgu2r3ZjdNjscUWAC4twI1VhrzM/SPgaq68ZNXP3t6+WbO6RwzoMHFrBg6ORIv8EDw7glOj8OZvnBmLzRYoy4taIPzQhdaAj/FjKLY+QEEJv6DbaqzKBIuNbosxPwxAbDbOfaDyNU0s1v8uRd1ei2flJwoyLqdQPpjv4Ta8vZednV1aWqqUFLXZP/+8ldT+z7vVG8GfY4JznjjyBK4swv1NuLcRmy0kySE/9Mk99YFrj6qncQUsPj6+Yso4R0fHyrcrSC2Kiv43tdnry+AVAigpqXtGjY42SPlrJ96GQMSHRAwA2XEmf85SYqLahsXA1E745RMBrixB/NWKdsuo7famH/wIcDXH39PxUSvweGVgshB7AYUpuOuPywsByZP5+NRdJdlriZ49ezo6OgIAvxhCHgBPT89aZgGu8Pjx4/IpvlIeoCQTwJIlS5Saqjays7MrL1fxV/D0oLTRwcGh9qhBzhgs+AMXZyPiMCpmXHx22Dg3Uom5yknjOnFkZWW5uJT3+DY2Nq5xytQHDx4sXbq0entiYqLscys0Ml26dAkMDASASwukLZ6enrIE/rPC/bH/AIBIoJtTw6IYTdywYcMWLly4f/9+SchGpD9v1qzZwx1T9Wq9g93BBn9Ng5NTp9TUVAD4eCPe3EFpDnLiutq3VU3a2sLU1DQwMNDHx0d6G6x9+/anTp2SJTA8vOpcHfHx8fn5+bKcXjcdCQkJ5d01898Cb6WNcXFxHTt2rD3wn6u4L05CLAKAyN94nG5A1VHi+fn5CQkJ3bp1q76TXbt21T5XQH1oXAEzMzOrOHXg8XgVCylV5uXltX///urtPj4+ZmZN9P7tokWLjh49WnGl29raesOGDbIE9ujRIyUlBQDell8T79mzp3Jy1G6//PLL119/ffnyZUdH3zFjxtQyR21lbdu2LS9gt9ZIWwwOe2EXXeaqauDAga9fv46KitLV1e3UqZOenp4sUdVPI8zMzExNaRTYv9R4o7f8lLdWPXr0KH+U9aqGxkrMzMycnJyqfyzr6urWshxB/WlcAXNycoqIKB9lkJWV1a5du+rb6Ovrd+1aw1B7NpvdiFcLrJ2RkdGTJ0+OHj368uXL5s2bz5kzp8baX93SpUurrOta49ktAeDs7Ozr6ytXiL+//+3btyuveTFp0qSGzquRMDIykver+pAhQ9zc3BISEipa5s6dK+N3i6bDzMxsypQp5VdoAADdu3ev8WypimHDhpmbm+fl/TNezMbGplevXtW3ZDAYH/pYViqN+02PHTs2JCSEx+MBuHPnTu2zVZLKDA0NlyxZsnfvXj8/PxmrF4ABAwYEBQVJvyW1bdv2woUL/frJN9EfqUW/fv327dsnHUDNYrEmTpzYuNe0VDFjY+OrV696e3uz2WwrKys/P7+AgAB1J6WJ9u3bt2jRombNmhkZGY0bNy44OFiWPjJMJvPBgwetWrViMBgMBsPNze3Ro0cqyFZ2GncG1rJly3Xr1vn6+np4eJibm48ePVrdGTV+48aNGzdunLqzaLTmzZs3b948dWfRaLm7u1+/fl3dWWg6Y2PjvXv37t27V97Atm3byjKeQV00roABmDFjxowZM9SdBSGEEI2mcZcQCSGEEFlQASOEEKKVqIARQgjRSlTACCGEaCUqYIQQQrQSFTBCCCFaiQoYIYQQrUQFjBBCiFaiAkYIIUQrUQEjhBCilaiAEUII0UpUwAghhGglKmCEEEK0EhUwQgghWokKGCGEEK1EBYwQQohWogJGCCFEK1EBI4QQopWogBFCCNFKVMAIIYRoJR11J9DAYmJi+Hz+h/4vl8uVSCSGhoby7rawsFBfX19PT0/ewLy8PDMzMyZT7i8KOTk5lpaW8kYpNVAgEGRmZj59+vRDG4hEosLCQnNzc3kPzePx+Hy+iYmJvIElJSVMJtPAwEDewIKCAiMjIx0dud//ubm5zZo1U8YvtLi4GEAt/7yy7KRGYrE4Pz/fwsJC3kCBQFBaWmpmZiZvIJfLFYvFRkZG8gYWFRWx2WzF/tBMTU1ZLNaHNsjMzOTz+cr451U4UCKR5ObmKvYLLSgoUOAPjc/nl5WVmZqayhtYWlrKYDBq+UOLj4+Xd58NgiGRSNRyYGWYO3fu8+fPa9kgPT1dLBY7ODjIu+eUlBQDAwMrKyt5A5OSkiwtLRX4CIiNjW3RooUCtfbFixft2rVT4KP52bNnnp6etWyQlpZmampay6dSfn5+bm6ui4uLvIfOysri8XhOTk7yBnI4HBaLZWtrK2/g27dvTUxMFPhMj4+Pt7OzU6DWxsTEuLq6stnsD22Qm5sLoJaUeDxeYmJi+/bt5T10UVFRenq6u7u7vIG5ublFRUUtW7aUNzAjI0MkEinwh/b+/Xs2m21tbS1vYFJSkoWFRbNmzT60QUlJSVFRkZ2dXS07qfNPoEZCofDVq1ceHh7yBpaWlr57965t27byBhYUFOTk5Cjwh5adnc3lcps3by5vIIfDYTKZtf/reXp6Hjx4UN4915ekKdmwYcN3332nQODixYv37NmjQODo0aODg4MVCOzevXtYWJgCgQ4ODqmpqQoE1v/NcO7cufHjxysQuHPnTl9fXwUC/fz8AgICFAicPn368ePHFQgcPHjwjRs3FAhs165dTEyMAoEVYmJi2rVrp0DgjRs3Bg8erEDg8ePHp0+frkBgQECAn5+fAoG+vr47d+5UIHD8+PHnzp1TILAyxf4EUlNTHRwcFAgMCwvr3r27AoHBwcGjR49WIHDPnj2LFy9WIPC7777bsGGDAoHKRvfACCGEaCUqYIQQQrQSFTBCCCFaiQoYIYQQrUQFjBBCiFZqWgWMwWCoPlb1geo6nFpeqRb9Xur5L6xFCWvXL7QB96Caw2nX70W51N0NUqXevn2blJSkQGBsbGxaWpoCgc+ePcvPz1cg8OHDh2VlZQoEhoSEiEQiBQLv3LmjQFRlubm5kZGRCgRyOJy4uDgFAhMTE9+9e6dAYHR0dFZWlgKB4eHhxcXFCgTev3+fz+crEFiBz+ffv39fgcCioqLw8HAFArOysqKjoxUIfPfuXWJiogKBcXFxHA5HgcDIyMi8vDwFAitT7E9AJBKFhIQoEMjlch89eqRAYH5+/rNnzxQITEtLi42NVSAwKSnp7du3CgQqW6MayEwIIaTpaFqXEAkhhDQaVMAIIYRoJSpghBBCtBIVMEIIIVqJCpiyaELvGE3IgWgjTXjnaEIORMM1oQIWGhoaEBDg7+/v4+MjXXtJRqdPn/bz8/vxxx+nTJmSk5NT5/YZGRn+/v79+vWTPhUKhX5+fq1bt7a3t5dO0V1jVEFBwYwZMywsLOzs7KRT5ldvqTGwxv1XyUH2QHlfLFENevfKEkjv3iZHDV331aGgoKB///5isVgikfj6+n7//fcyBiYkJPTu3Vv6eM+ePf7+/rVvHxsbO2HChCNHjri6ukpbHj58+OOPPwoEgri4OB0dnXv37tUYeOLEiS1bthQVFV2/fp3NZgcHB1dvqTGw+v6r5yBjoLwvlqgGvXtlCaR3bxPUVM7AgoKCvLy8pIPJvb29L126JGNgSkoKh8ORfuflcrmtW7euffs2bdqcPXu2Xbt2FS0sFmvlypU6OjqtW7fu3r37h9aotLa2XrFihbGxsbe39+DBg1+/fl29pcbA6vuvnoOMgfK+WKIa9O6VJZDevU1QUylg8fHxFUt3Ozo6pqWlyRjYu3dvGxub7t2779ixg8lkTpo0Sd5Dd+/eXVdXF0BycrKXl9eHlnz19vauWKg+Pj6+b9++1Vvqs39ZAuv/Yoky0LtXlkB69zZBTaWAZWVl6ejoSB8bGxsLBAIZA9ls9ubNm5s3bx4QEHDx4sXExEQFjl5aWurr6ztv3jwej5eUlFT7xnfv3h0wYECfPn1qaanP/msJbJAXSxocvXtlCaR3b1Ok7muYKrJy5co1a9ZIH7948aJ9+/YyBj569GjSpEkikaiwsHDUqFFeXl6yRD18+LDGK/grVqzo27dvLYEcDmfcuHFcLreWllpU3v+HcqglULEXS5SN3r2yBNK7twlqKmdgTk5O7969kz7Oysqq8wp7hd9//3348OFMJtPExGTjxo2FhYXyHrpyb6g+ffrU0oWstLR0/fr1Bw8e1NfX/1BLffZfZ2D9XyxRBnr3yhJI794mqKkUsLFjx4aEhPB4PAB37tyZNm2ajIHOzs7x8fHSx/Hx8T4+PrJEicVisVgsfbxu3br8/Hzp45CQkDVr1tQYIhAIli1btnjxYrFYnJ2dnZ2dXb2lxsAP7b9yDjIGKvZiibLRu1eWQHr3NkFNaDb648eP379/38PDQyQSLVu2TMYogUDw1VdfWVpa2tjYSK+5S28d1yIoKOjkyZMXL15cv379hAkToqOjDx8+3LVrV0tLy27dun3obvaiRYv27dtX8VRXV3fOnDlVWvh8fvXA8+fPV99/lRxq7JFVPVCBF0tUg969dQbSu7cJakIFjBBCSGPSVC4hEkIIaWSogBFCCNFKVMAIIYRoJSpghBBCtBIVMEIIIVqJChghhBCtRAWMEEKIVqICRgghRCtRASOEEKKVqIARQgjRSlTACCGEaCUqYIQQQrQSFTBCCCFaiQoYIYQQrUQFjBBtUlJScvPmzbVr19a+3iMhTQEVMEJUJCoqasiQIfXcyY0bNzZt2mcoi0QAAANDSURBVLRhwwYqYIRQASNERY4cOXLz5s3ExMT67GTMmDGzZ89uqJQI0WpUwAhRBS6XGxsba2RkdOjQoXruismkP1tCACpghKjGmTNnZs6cOWXKlKNHjwoEAnWnQ0hjQAWMEFU4f/78uHHjFixYkJGRcfHiRWnjli1bdHR0WrRoIT0ti4yMHD16tKur66VLlwAkJCRMnz7d3t7e1tZ2zZo16syeEI1EBYwQpYuIiOjYsaOenp6Xl1ePHj0OHDggbV+1atWYMWPMzMzmzp0LoHPnzt26dduxY8fIkSMBzJs3b/v27RwOZ+PGjQEBAREREep8DYRoHipghCjd/v3758+fL328cOHCGzduJCUlSZ/OmzcvOjr6+fPn0qeJiYmffvqp9PHRo0ctLCwYDMbcuXPt7e2pgBFShY66EyCkkcvPz79x40ZGRob0KZ/P19PTO3ToUEBAAIDBgwe3aNHi6NGjO3bsSEhI6NKlS0UfDTs7u6NHj967d09fX18oFObk5KjtNRCikegMjBDlOn78+JYtW4L/5+rVqzNmzDhy5Ii0KweLxZozZ86JEyd4PN7p06dnzpwpjcrLy+vcuXNWVtbevXv37t3r4OAgkUjU+TII0TxUwAhRIolE8uuvv1ZcFZTy8fGp3JVj9uzZ+fn5Z8+e5fF4zZo1kzb+/vvvKSkpK1eu1NfXF4vFXC5X1akTovGogBGiRDdu3HBwcDAwMKjc2L9/f0tLy+3bt0ufOjk5ffLJJ0uXLh01alTFNkwmk8vl/vHHH8nJyWvXrs3LyxOJRNL/xePxAPD5fFW9CEI0FMvf31/dORDSOO3evXvFihUZGRm5ubmDBg2SNmZlZa1fv/7Jkyfx8fGxsbFDhw5ls9lGRkb37t3btGkTg8GQbta6devw8PAdO3ZkZGRs3LjxyJEjycnJrq6ujx492rNnT2pq6vv3711cXOzs7NT3+ghRMwZdWCeEEKKN6BIiIYQQrUQFjBBCiFaiAkYIIUQrUQEjhBCilaiAEUII0UpUwAghhGglKmCEEEK0EhUwQgghWokKGCGEEK1EBYwQQohWogJGCCFEK1EBI4QQopWogBFCCNFKVMAIIYRoJSpghBBCtNL/AzsXcn86OFPkAAAAAElFTkSuQmCC" /></p>
+<hr />
+</div>
+</div>
+<div id="producao-de-ovos" class="section level2">
+<h2>Produção de ovos</h2>
+<div id="analise-exploratoria-3" class="section level3">
+<h3>Análise exploratória</h3>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+
+dd <-<span class="st"> </span><span class="kw">read.table</span>(<span class="st">"ovos.txt"</span>, <span class="dt">header=</span><span class="ot">TRUE</span>, <span class="dt">sep=</span><span class="st">"</span><span class="ch">\t</span><span class="st">"</span>)
+<span class="kw">str</span>(dd)</code></pre>
+<pre><code>## 'data.frame': 2100 obs. of 7 variables:
+## $ periodo: int 1 1 1 1 1 1 1 1 1 1 ...
+## $ box : int 1 1 1 1 1 1 2 2 2 2 ...
+## $ luz : Factor w/ 5 levels "amarelo","azul",..: 4 4 4 4 4 4 1 1 1 1 ...
+## $ gaiola : int 1 2 3 4 5 6 1 2 3 4 ...
+## $ dia : int 1 1 1 1 1 1 1 1 1 1 ...
+## $ ovos : int 9 7 9 7 9 8 9 8 6 10 ...
+## $ massa : int 698 591 589 401 611 531 569 546 410 631 ...</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">ftable</span>(<span class="kw">xtabs</span>(~periodo+luz+box, <span class="dt">data=</span>dd))</code></pre>
+<pre><code>## box 1 2 3 4 5
+## periodo luz
+## 1 amarelo 0 84 0 0 0
+## azul 0 0 84 0 0
+## branco 0 0 0 84 0
+## verde 84 0 0 0 0
+## vermelho 0 0 0 0 84
+## 2 amarelo 84 0 0 0 0
+## azul 0 0 0 84 0
+## branco 0 84 0 0 0
+## verde 0 0 0 0 84
+## vermelho 0 0 84 0 0
+## 3 amarelo 0 0 0 0 84
+## azul 84 0 0 0 0
+## branco 0 0 84 0 0
+## verde 0 84 0 0 0
+## vermelho 0 0 0 84 0
+## 4 amarelo 0 0 84 0 0
+## azul 0 84 0 0 0
+## branco 0 0 0 0 84
+## verde 0 0 0 84 0
+## vermelho 84 0 0 0 0
+## 5 amarelo 0 0 0 84 0
+## azul 0 0 0 0 84
+## branco 84 0 0 0 0
+## verde 0 0 84 0 0
+## vermelho 0 84 0 0 0</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Cada box tem 6 gaiolas. Cada gaiola tem 10 aves.
+## Modelar a produção por ave dia usando o total de por gaiola em duas
+## semanas. O offset é 10*14=140.
+
+<span class="kw">useOuterStrips</span>(
+ <span class="kw">xyplot</span>(ovos~dia|luz+periodo, <span class="dt">data=</span>dd, <span class="dt">jitter.x=</span><span class="ot">TRUE</span>,
+ <span class="dt">groups=</span>gaiola,
+ <span class="dt">type=</span><span class="kw">c</span>(<span class="st">"p"</span>, <span class="st">"smooth"</span>)))</code></pre>
+<p><img src="data:image/png;base64,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" /></p>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">useOuterStrips</span>(
+ <span class="kw">xyplot</span>(massa~dia|luz+periodo, <span class="dt">data=</span>dd, <span class="dt">jitter.x=</span><span class="ot">TRUE</span>,
+ <span class="dt">groups=</span>gaiola,
+ <span class="dt">type=</span><span class="kw">c</span>(<span class="st">"p"</span>, <span class="st">"smooth"</span>)))</code></pre>
+<p><img 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" /></p>
+<pre class="sourceCode r"><code class="sourceCode r">## Agregar para o total quinzenal.
+dd <-<span class="st"> </span><span class="kw">aggregate</span>(ovos~periodo+box+luz+gaiola, <span class="dt">data=</span>dd, <span class="dt">FUN=</span>sum)
+<span class="kw">str</span>(dd)</code></pre>
+<pre><code>## 'data.frame': 150 obs. of 5 variables:
+## $ periodo: int 2 1 4 5 3 3 4 1 2 5 ...
+## $ box : int 1 2 3 4 5 1 2 3 4 5 ...
+## $ luz : Factor w/ 5 levels "amarelo","azul",..: 1 1 1 1 1 2 2 2 2 2 ...
+## $ gaiola : int 1 1 1 1 1 1 1 1 1 1 ...
+## $ ovos : int 111 115 99 118 117 107 91 113 120 115 ...</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">xyplot</span>(ovos~periodo, <span class="dt">groups=</span>luz, <span class="dt">data=</span>dd, <span class="dt">jitter.x=</span><span class="ot">TRUE</span>,
+ ## groups=gaiola,
+ <span class="dt">type=</span><span class="kw">c</span>(<span class="st">"p"</span>, <span class="st">"smooth"</span>))</code></pre>
+<p><img 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" /></p>
+</div>
+<div id="ajuste-dos-modelos-3" class="section level3">
+<h3>Ajuste dos modelos</h3>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Ajuste do Poisson e Quasi-Poisson.
+
+## IMPORTANT: Foi usado um offset de 10*14=140.
+
+dd <-<span class="st"> </span><span class="kw">transform</span>(dd,
+ <span class="dt">off=</span><span class="dv">10</span>*<span class="dv">14</span>, ## 10 aves por gaiola, soma de 14 dias.
+ <span class="dt">Per=</span><span class="kw">factor</span>(periodo),
+ <span class="dt">Box=</span><span class="kw">factor</span>(box))
+<span class="kw">names</span>(dd)[<span class="dv">3</span>] <-<span class="st"> "Luz"</span>
+
+## WARNING: Esta sendo negligenciada a variância de gaiolas. Isso requer
+## um modelo de efeitos aleatórios que ainda não dispomos.
+
+## Modelo Poisson para ter referência.
+m0 <-<span class="st"> </span><span class="kw">glm</span>(ovos~<span class="kw">offset</span>(<span class="kw">log</span>(off))+Per+Box+Luz,
+ <span class="dt">data=</span>dd, <span class="dt">family=</span>poisson)
+<span class="kw">summary</span>(m0)</code></pre>
+<pre><code>##
+## Call:
+## glm(formula = ovos ~ offset(log(off)) + Per + Box + Luz, family = poisson,
+## data = dd)
+##
+## Deviance Residuals:
+## Min 1Q Median 3Q Max
+## -2.98939 -0.70195 0.05559 0.73734 2.84660
+##
+## Coefficients:
+## Estimate Std. Error z value Pr(>|z|)
+## (Intercept) -0.293502 0.028913 -10.151 < 2e-16 ***
+## Per2 -0.020631 0.024848 -0.830 0.406375
+## Per3 -0.066985 0.025143 -2.664 0.007717 **
+## Per4 -0.145362 0.025666 -5.664 1.48e-08 ***
+## Per5 -0.094955 0.025330 -3.749 0.000178 ***
+## Box2 0.016591 0.025919 0.640 0.522110
+## Box3 0.017281 0.025923 0.667 0.505028
+## Box4 0.071877 0.025581 2.810 0.004957 **
+## Box5 0.086243 0.025484 3.384 0.000714 ***
+## Luzazul -0.007520 0.025659 -0.293 0.769463
+## Luzbranco 0.005290 0.025575 0.207 0.836122
+## Luzverde 0.026120 0.025441 1.027 0.304566
+## Luzvermelho 0.003538 0.025579 0.138 0.889987
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
+##
+## (Dispersion parameter for poisson family taken to be 1)
+##
+## Null deviance: 214.21 on 149 degrees of freedom
+## Residual deviance: 153.17 on 137 degrees of freedom
+## AIC: 1148.3
+##
+## Number of Fisher Scoring iterations: 4</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">anova</span>(m0, <span class="dt">test=</span><span class="st">"Chisq"</span>)</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: poisson, link: log
+##
+## Response: ovos
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev Pr(>Chi)
+## NULL 149 214.21
+## Per 4 41.191 145 173.02 2.454e-08 ***
+## Box 4 17.905 141 155.12 0.001288 **
+## Luz 4 1.942 137 153.17 0.746451
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Modelo quasi Poisson para usar os valores iniciais.
+## m1 <- glm(count/volume~IP*DAS, data=da, family=quasipoisson)
+m1 <-<span class="st"> </span><span class="kw">update</span>(m0, <span class="dt">family=</span>quasipoisson)
+<span class="kw">summary</span>(m1)</code></pre>
+<pre><code>##
+## Call:
+## glm(formula = ovos ~ offset(log(off)) + Per + Box + Luz, family = quasipoisson,
+## data = dd)
+##
+## Deviance Residuals:
+## Min 1Q Median 3Q Max
+## -2.98939 -0.70195 0.05559 0.73734 2.84660
+##
+## Coefficients:
+## Estimate Std. Error t value Pr(>|t|)
+## (Intercept) -0.293502 0.030410 -9.652 < 2e-16 ***
+## Per2 -0.020631 0.026135 -0.789 0.431234
+## Per3 -0.066985 0.026445 -2.533 0.012435 *
+## Per4 -0.145362 0.026995 -5.385 3.07e-07 ***
+## Per5 -0.094955 0.026642 -3.564 0.000503 ***
+## Box2 0.016591 0.027261 0.609 0.543808
+## Box3 0.017281 0.027266 0.634 0.527279
+## Box4 0.071877 0.026905 2.671 0.008467 **
+## Box5 0.086243 0.026804 3.218 0.001614 **
+## Luzazul -0.007520 0.026988 -0.279 0.780934
+## Luzbranco 0.005290 0.026899 0.197 0.844375
+## Luzverde 0.026120 0.026758 0.976 0.330712
+## Luzvermelho 0.003538 0.026904 0.132 0.895564
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
+##
+## (Dispersion parameter for quasipoisson family taken to be 1.106239)
+##
+## Null deviance: 214.21 on 149 degrees of freedom
+## Residual deviance: 153.17 on 137 degrees of freedom
+## AIC: NA
+##
+## Number of Fisher Scoring iterations: 4</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">anova</span>(m1, <span class="dt">test=</span><span class="st">"F"</span>)</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: quasipoisson, link: log
+##
+## Response: ovos
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev F Pr(>F)
+## NULL 149 214.21
+## Per 4 41.191 145 173.02 9.3088 1.101e-06 ***
+## Box 4 17.905 141 155.12 4.0464 0.003924 **
+## Luz 4 1.942 137 153.17 0.4388 0.780359
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">par</span>(<span class="dt">mfrow=</span><span class="kw">c</span>(<span class="dv">2</span>,<span class="dv">2</span>)); <span class="kw">plot</span>(m1); <span class="kw">layout</span>(<span class="dv">1</span>)</code></pre>
+<p><img 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" /></p>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Ajuste do Gamma-Count.
+
+start <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"alpha"</span>=<span class="kw">log</span>(<span class="dv">1</span>), <span class="kw">coef</span>(m0))
+<span class="kw">parnames</span>(ll) <-<span class="st"> </span><span class="kw">names</span>(start)
+
+y <-<span class="st"> </span><span class="kw">with</span>(dd, ovos)
+X <-<span class="st"> </span><span class="kw">model.matrix</span>(~Per+Box+Luz, <span class="dt">data=</span>dd)
+
+L <-<span class="st"> </span><span class="kw">list</span>(<span class="dt">y=</span>y, <span class="dt">offset=</span><span class="dv">140</span>, <span class="dt">X=</span>X)
+
+m3 <-<span class="st"> </span><span class="kw">mle2</span>(ll, <span class="dt">start=</span>start,
+ <span class="dt">data=</span>L, <span class="dt">vecpar=</span><span class="ot">TRUE</span>)
+## summary(m3)</code></pre>
+</div>
+<div id="comparacao-dos-ajustes-3" class="section level3">
+<h3>Comparação dos ajustes</h3>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+
+## Log-verossimilhaça.
+<span class="kw">cbind</span>(<span class="kw">logLik</span>(m0), <span class="kw">logLik</span>(m1), <span class="kw">logLik</span>(m3))</code></pre>
+<pre><code>## [,1] [,2] [,3]
+## [1,] -561.1435 NA -561.1298</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Estimativas dos parâmetros.
+<span class="kw">cbind</span>(<span class="kw">coef</span>(m0), <span class="kw">coef</span>(m1), <span class="kw">coef</span>(m3)[-<span class="dv">1</span>])</code></pre>
+<pre><code>## [,1] [,2] [,3]
+## (Intercept) -0.293502158 -0.293502158 -0.293628429
+## Per2 -0.020631035 -0.020631035 -0.020628965
+## Per3 -0.066985381 -0.066985381 -0.066953143
+## Per4 -0.145362253 -0.145362253 -0.145392814
+## Per5 -0.094955166 -0.094955166 -0.094939106
+## Box2 0.016590669 0.016590669 0.016613475
+## Box3 0.017280556 0.017280556 0.017309822
+## Box4 0.071877118 0.071877118 0.071885239
+## Box5 0.086243384 0.086243384 0.086288936
+## Luzazul -0.007520114 -0.007520114 -0.007514504
+## Luzbranco 0.005290366 0.005290366 0.005306603
+## Luzverde 0.026119937 0.026119937 0.026153428
+## Luzvermelho 0.003538117 0.003538117 0.003556394</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Estimativa do parâmetro de dispersão.
+<span class="kw">exp</span>(<span class="kw">coef</span>(m3)[<span class="dv">1</span>])</code></pre>
+<pre><code>## alpha
+## 0.9809765</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Perfil de log-verossmilhança.
+<span class="kw">plot</span>(<span class="kw">profile</span>(m3, <span class="dt">which=</span><span class="dv">1</span>))</code></pre>
+<p><img src="data:image/png;base64,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" /></p>
+<pre class="sourceCode r"><code class="sourceCode r">a <-<span class="st"> </span><span class="kw">c</span>(<span class="dv">0</span>, <span class="kw">attr</span>(<span class="kw">model.matrix</span>(m0), <span class="st">"assign"</span>))
+ai <-<span class="st"> </span>a==<span class="dv">3</span>
+L <-<span class="st"> </span><span class="kw">t</span>(<span class="kw">replicate</span>(<span class="kw">sum</span>(ai), <span class="kw">rbind</span>(<span class="kw">coef</span>(m3)*<span class="dv">0</span>), <span class="dt">simplify=</span><span class="st">"matrix"</span>))
+L[,ai] <-<span class="st"> </span><span class="kw">diag</span>(<span class="kw">sum</span>(ai))
+
+## Teste de Wald explicito.
+## t(L%*%coef(m3))%*%
+## solve(L%*%vcov(m3)%*%t(L))%*%
+## (L%*%coef(m3))
+<span class="kw">crossprod</span>(L%*%<span class="kw">coef</span>(m3), <span class="kw">solve</span>(L%*%<span class="kw">vcov</span>(m3)%*%<span class="kw">t</span>(L), L%*%<span class="kw">coef</span>(m3)))</code></pre>
+<pre><code>## [,1]
+## [1,] 1.914755</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Teste de Wald para interação (poderia ser LRT, claro).
+<span class="kw">linearHypothesis</span>(<span class="dt">model=</span>m0, ## É necessário um objeto glm.
+ <span class="dt">hypothesis.matrix=</span>L,
+ <span class="dt">vcov.=</span><span class="kw">vcov</span>(m3),
+ <span class="dt">coef.=</span><span class="kw">coef</span>(m3))</code></pre>
+<pre><code>## Linear hypothesis test
+##
+## Hypothesis:
+## Luzazul = 0
+## Luzbranco = 0
+## Luzverde = 0
+## Luzvermelho = 0
+##
+## Model 1: restricted model
+## Model 2: ovos ~ offset(log(off)) + Per + Box + Luz
+##
+## Note: Coefficient covariance matrix supplied.
+##
+## Res.Df Df Chisq Pr(>Chisq)
+## 1 141
+## 2 137 4 1.9148 0.7514</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Teste pelo modelo quasi Poisson.
+<span class="kw">anova</span>(m1, <span class="dt">test=</span><span class="st">"Chisq"</span>)</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: quasipoisson, link: log
+##
+## Response: ovos
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev Pr(>Chi)
+## NULL 149 214.21
+## Per 4 41.191 145 173.02 1.611e-07 ***
+## Box 4 17.905 141 155.12 0.00278 **
+## Luz 4 1.942 137 153.17 0.78064
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">anova</span>(m1, <span class="dt">test=</span><span class="st">"F"</span>)</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: quasipoisson, link: log
+##
+## Response: ovos
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev F Pr(>F)
+## NULL 149 214.21
+## Per 4 41.191 145 173.02 9.3088 1.101e-06 ***
+## Box 4 17.905 141 155.12 4.0464 0.003924 **
+## Luz 4 1.942 137 153.17 0.4388 0.780359
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Ortogonalidade entre dispersão e locação.
+
+V <-<span class="st"> </span><span class="kw">cov2cor</span>(<span class="kw">vcov</span>(m3))
+<span class="kw">corrplot.mixed</span>(V, <span class="dt">upper=</span><span class="st">"ellipse"</span>, <span class="dt">col=</span><span class="st">"gray50"</span>)</code></pre>
+<p><img src="data:image/png;base64,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" /></p>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">dev.off</span>()</code></pre>
+<pre><code>## null device
+## 1</code></pre>
+</div>
+<div id="predicao-3" class="section level3">
+<h3>Predição</h3>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Predição das médias com IC.
+
+pred <-<span class="st"> </span><span class="kw">expand.grid</span>(<span class="dt">Per=</span><span class="kw">factor</span>(<span class="kw">levels</span>(dd$Per)[<span class="dv">1</span>],
+ <span class="dt">levels=</span><span class="kw">levels</span>(dd$Per)),
+ <span class="dt">Box=</span><span class="kw">factor</span>(<span class="kw">levels</span>(dd$Box)[<span class="dv">1</span>],
+ <span class="dt">levels=</span><span class="kw">levels</span>(dd$Box)),
+ <span class="dt">Luz=</span><span class="kw">levels</span>(dd$Luz),
+ <span class="dt">off=</span><span class="dv">10</span>*<span class="dv">14</span>,
+ <span class="dt">KEEP.OUT.ATTRS=</span><span class="ot">FALSE</span>)
+pred <-<span class="st"> </span><span class="kw">list</span>(<span class="dt">pois=</span>pred, <span class="dt">quasi=</span>pred, <span class="dt">cg=</span>pred)
+
+## Quantil normal.
+qn <-<span class="st"> </span><span class="kw">qnorm</span>(<span class="fl">0.975</span>)*<span class="kw">c</span>(<span class="dt">lwr=</span>-<span class="dv">1</span>, <span class="dt">fit=</span><span class="dv">0</span>, <span class="dt">upr=</span><span class="dv">1</span>)
+
+X <-<span class="st"> </span><span class="kw">LSmatrix</span>(<span class="kw">lm</span>(ovos~Per+Box+Luz, dd), <span class="dt">effect=</span><span class="kw">c</span>(<span class="st">"Luz"</span>))
+
+## Preditos pela Poisson.
+## aux <- predict(m0, newdata=pred$pois, se.fit=TRUE)
+## aux <- exp(aux$fit+outer(aux$se.fit, qn, FUN="*"))
+## pred$pois <- cbind(pred$pois, aux)
+aux <-<span class="st"> </span><span class="kw">confint</span>(<span class="kw">glht</span>(m0, <span class="dt">linfct=</span>X), <span class="dt">calpha=</span><span class="kw">univariate_calpha</span>())$confint
+<span class="kw">colnames</span>(aux)[<span class="dv">1</span>] <-<span class="st"> "fit"</span>
+pred$pois <-<span class="st"> </span><span class="kw">cbind</span>(pred$pois, <span class="dv">140</span>*<span class="kw">exp</span>(aux))
+
+## aux <- predict(m1, newdata=pred$quasi, se.fit=TRUE)
+## aux <- exp(aux$fit+outer(aux$se.fit, qn, FUN="*"))
+## pred$quasi <- cbind(pred$quasi, aux)
+aux <-<span class="st"> </span><span class="kw">confint</span>(<span class="kw">glht</span>(m1, <span class="dt">linfct=</span>X), <span class="dt">calpha=</span><span class="kw">univariate_calpha</span>())$confint
+<span class="kw">colnames</span>(aux)[<span class="dv">1</span>] <-<span class="st"> "fit"</span>
+pred$quasi <-<span class="st"> </span><span class="kw">cbind</span>(pred$quasi, <span class="dv">140</span>*<span class="kw">exp</span>(aux))
+
+alpha <-<span class="st"> </span><span class="kw">coef</span>(m3)[<span class="dv">1</span>] ## Locação.
+theta <-<span class="st"> </span><span class="kw">coef</span>(m3)[-<span class="dv">1</span>] ## Dispersão.
+
+## Preditor linear.
+pred$cg$eta <-<span class="st"> </span><span class="kw">c</span>(X%*%theta)
+
+## Matrix de covariância completa.
+V <-<span class="st"> </span><span class="kw">vcov</span>(m3)
+
+## Marginal em theta.
+Vm <-<span class="st"> </span>V[-<span class="dv">1</span>,-<span class="dv">1</span>]
+
+## Condicional.
+Vc <-<span class="st"> </span>V[-<span class="dv">1</span>,-<span class="dv">1</span>]-V[-<span class="dv">1</span>,<span class="dv">1</span>]%*%<span class="kw">solve</span>(V[<span class="dv">1</span>,<span class="dv">1</span>])%*%V[<span class="dv">1</span>,-<span class="dv">1</span>]
+
+<span class="kw">max</span>(<span class="kw">abs</span>(Vm-Vc))</code></pre>
+<pre><code>## [1] 3.270846e-07</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Preditos pela Gamma-count.
+U <-<span class="st"> </span><span class="kw">chol</span>(Vm)
+aux <-<span class="st"> </span><span class="kw">sqrt</span>(<span class="kw">apply</span>(X%*%<span class="kw">t</span>(U), <span class="dt">MARGIN=</span><span class="dv">1</span>,
+ <span class="dt">FUN=</span>function(x){ <span class="kw">sum</span>(x^<span class="dv">2</span>) }))
+
+aux <-<span class="st"> </span>pred$cg$eta+<span class="kw">outer</span>(aux, qn, <span class="dt">FUN=</span><span class="st">"*"</span>)
+aux <-<span class="st"> </span><span class="kw">apply</span>(aux, <span class="dt">MARGIN=</span><span class="dv">2</span>,
+ <span class="dt">FUN=</span>function(col){
+ <span class="kw">sapply</span>(col, <span class="dt">FUN=</span>eta2mean,
+ <span class="dt">offset=</span><span class="dv">140</span>, <span class="dt">alpha=</span>alpha)
+ })
+pred$cg <-<span class="st"> </span><span class="kw">cbind</span>(pred$cg, aux)
+
+##----------------------------------------------------------------------
+
+pred <-<span class="st"> </span><span class="kw">ldply</span>(pred, <span class="dt">.id=</span><span class="st">"modelo"</span>)
+pred <-<span class="st"> </span><span class="kw">arrange</span>(pred, Luz, modelo)
+<span class="kw">str</span>(pred)</code></pre>
+<pre><code>## 'data.frame': 15 obs. of 9 variables:
+## $ modelo: Factor w/ 3 levels "pois","quasi",..: 1 2 3 1 2 3 1 2 3 1 ...
+## $ Per : Factor w/ 5 levels "1","2","3","4",..: 1 1 1 1 1 1 1 1 1 1 ...
+## $ Box : Factor w/ 5 levels "1","2","3","4",..: 1 1 1 1 1 1 1 1 1 1 ...
+## $ Luz : Factor w/ 5 levels "amarelo","azul",..: 1 1 1 2 2 2 3 3 3 4 ...
+## $ off : num 140 140 140 140 140 140 140 140 140 140 ...
+## $ fit : num 102 102 102 101 101 ...
+## $ lwr : num 98 97.9 98 97.3 97.1 ...
+## $ upr : num 105 105 105 104 105 ...
+## $ eta : num NA NA -0.321 NA NA ...</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## source("http://git.leg.ufpr.br/leg/legTools/raw/devel/R/panel.segplot.by.R")
+
+<span class="kw">segplot</span>(Luz~lwr+upr, <span class="dt">centers=</span>fit, <span class="dt">data=</span>pred,
+ <span class="dt">horizontal=</span><span class="ot">FALSE</span>,
+ <span class="dt">draw=</span><span class="ot">FALSE</span>,
+ <span class="dt">panel=</span>panel.segplot.by, <span class="dt">groups=</span>pred$modelo, <span class="dt">f=</span><span class="fl">0.15</span>,
+ <span class="dt">pch=</span>pred$modelo, <span class="dt">layout=</span><span class="kw">c</span>(<span class="ot">NA</span>, <span class="dv">1</span>), <span class="dt">as.table=</span><span class="ot">TRUE</span>,
+ <span class="dt">key=</span><span class="kw">list</span>(<span class="dt">type=</span><span class="st">"o"</span>, <span class="dt">divide=</span><span class="dv">1</span>,
+ <span class="dt">lines=</span><span class="kw">list</span>(<span class="dt">pch=</span><span class="dv">1</span>:<span class="kw">nlevels</span>(pred$modelo),
+ <span class="dt">lty=</span><span class="dv">1</span>, <span class="dt">col=</span><span class="dv">1</span>),
+ <span class="dt">text=</span><span class="kw">list</span>(<span class="kw">c</span>(<span class="st">"Poisson"</span>, <span class="st">"Quasi-Poisson"</span>,
+ <span class="st">"Gamma-Count"</span>))))</code></pre>
+<p><img src="data:image/png;base64,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" /></p>
+<hr />
+</div>
+</div>
+<div id="capulhos-no-algodao-em-funcao-da-pressao-da-mosca-branca" class="section level2">
+<h2>Capulhos no algodão em função da pressão da mosca branca</h2>
+<p><a href="http://www.leg.ufpr.br/~walmes/data/mosca_algodao_prod.txt" class="uri">http://www.leg.ufpr.br/~walmes/data/mosca_algodao_prod.txt</a></p>
+<div id="analise-exploratoria-4" class="section level3">
+<h3>Análise exploratória</h3>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+
+da <-<span class="st"> </span><span class="kw">read.table</span>(
+ <span class="st">"http://www.leg.ufpr.br/~walmes/data/mosca_algodao_prod.txt"</span>,
+ <span class="dt">header=</span><span class="ot">TRUE</span>, <span class="dt">sep=</span><span class="st">"</span><span class="ch">\t</span><span class="st">"</span>)
+## da <- aggregate(ncapu~vaso+dexp, data=da, FUN=sum)
+<span class="kw">str</span>(da)</code></pre>
+<pre><code>## 'data.frame': 60 obs. of 8 variables:
+## $ dexp : int 0 0 0 0 0 0 0 0 0 0 ...
+## $ vaso : int 1 1 2 2 3 3 4 4 5 5 ...
+## $ planta : int 1 2 1 2 1 2 1 2 1 2 ...
+## $ nestrrep: int 4 4 3 5 5 5 5 5 4 5 ...
+## $ ncapu : int 4 4 2 5 5 5 5 5 4 5 ...
+## $ alt : num 70.5 67.5 72 70 64 64.5 67.5 61 70 70 ...
+## $ nnos : int 13 14 14 15 15 11 14 11 14 15 ...
+## $ pesocap : num 25.2 NA 28.5 NA 31.8 ...</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">xyplot</span>(ncapu~dexp, <span class="dt">data=</span>da, <span class="dt">jitter.x=</span><span class="ot">TRUE</span>,
+ <span class="dt">type=</span><span class="kw">c</span>(<span class="st">"p"</span>, <span class="st">"smooth"</span>))</code></pre>
+<p><img 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" /></p>
+</div>
+<div id="ajuste-dos-modelos-4" class="section level3">
+<h3>Ajuste dos modelos</h3>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Ajuste do Poisson e Quasi-Poisson.
+
+## da <- transform(da, Dexp=factor(dexp))
+da <-<span class="st"> </span><span class="kw">transform</span>(da, <span class="dt">dexp=</span>dexp-<span class="kw">mean</span>(<span class="kw">range</span>(dexp)))
+
+## WARNING: Esta sendo negligenciada a variância entre vasos. Isso
+## requer um modelo de efeitos aleatórios que ainda não dispomos.
+
+## Modelo Poisson para ter referência.
+m0 <-<span class="st"> </span><span class="kw">glm</span>(ncapu~dexp+<span class="kw">I</span>(dexp^<span class="dv">2</span>), <span class="dt">data=</span>da, <span class="dt">family=</span>poisson)
+<span class="kw">summary</span>(m0)</code></pre>
+<pre><code>##
+## Call:
+## glm(formula = ncapu ~ dexp + I(dexp^2), family = poisson, data = da)
+##
+## Deviance Residuals:
+## Min 1Q Median 3Q Max
+## -1.58913 -0.33198 0.06437 0.27783 1.25187
+##
+## Coefficients:
+## Estimate Std. Error z value Pr(>|z|)
+## (Intercept) 1.23887 0.10535 11.759 <2e-16 ***
+## dexp -0.02573 0.03785 -0.680 0.497
+## I(dexp^2) 0.02870 0.02638 1.088 0.277
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
+##
+## (Dispersion parameter for poisson family taken to be 1)
+##
+## Null deviance: 20.800 on 59 degrees of freedom
+## Residual deviance: 19.133 on 57 degrees of freedom
+## AIC: 214.88
+##
+## Number of Fisher Scoring iterations: 4</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">anova</span>(m0, <span class="dt">test=</span><span class="st">"Chisq"</span>)</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: poisson, link: log
+##
+## Response: ncapu
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev Pr(>Chi)
+## NULL 59 20.800
+## dexp 1 0.49164 58 20.308 0.4832
+## I(dexp^2) 1 1.17575 57 19.133 0.2782</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Modelo quasi Poisson para usar os valores iniciais.
+m1 <-<span class="st"> </span><span class="kw">update</span>(m0, <span class="dt">family=</span>quasipoisson)
+<span class="kw">summary</span>(m1)</code></pre>
+<pre><code>##
+## Call:
+## glm(formula = ncapu ~ dexp + I(dexp^2), family = quasipoisson,
+## data = da)
+##
+## Deviance Residuals:
+## Min 1Q Median 3Q Max
+## -1.58913 -0.33198 0.06437 0.27783 1.25187
+##
+## Coefficients:
+## Estimate Std. Error t value Pr(>|t|)
+## (Intercept) 1.23887 0.05991 20.677 <2e-16 ***
+## dexp -0.02573 0.02152 -1.195 0.2370
+## I(dexp^2) 0.02870 0.01500 1.913 0.0607 .
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
+##
+## (Dispersion parameter for quasipoisson family taken to be 0.3234131)
+##
+## Null deviance: 20.800 on 59 degrees of freedom
+## Residual deviance: 19.133 on 57 degrees of freedom
+## AIC: NA
+##
+## Number of Fisher Scoring iterations: 4</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">anova</span>(m1, <span class="dt">test=</span><span class="st">"F"</span>)</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: quasipoisson, link: log
+##
+## Response: ncapu
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev F Pr(>F)
+## NULL 59 20.800
+## dexp 1 0.49164 58 20.308 1.5202 0.22265
+## I(dexp^2) 1 1.17575 57 19.133 3.6355 0.06161 .
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">par</span>(<span class="dt">mfrow=</span><span class="kw">c</span>(<span class="dv">2</span>,<span class="dv">2</span>)); <span class="kw">plot</span>(m1); <span class="kw">layout</span>(<span class="dv">1</span>)</code></pre>
+<p><img 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" /></p>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Ajuste do Gamma-Count.
+
+start <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"alpha"</span>=<span class="kw">log</span>(<span class="dv">2</span>), <span class="kw">coef</span>(m0))
+<span class="kw">parnames</span>(ll) <-<span class="st"> </span><span class="kw">names</span>(start)
+
+y <-<span class="st"> </span><span class="kw">with</span>(da, ncapu)
+X <-<span class="st"> </span><span class="kw">model.matrix</span>(m0)
+
+L <-<span class="st"> </span><span class="kw">list</span>(<span class="dt">y=</span>y, <span class="dt">offset=</span><span class="dv">1</span>, <span class="dt">X=</span>X)
+
+m3 <-<span class="st"> </span><span class="kw">mle2</span>(ll, <span class="dt">start=</span>start,
+ <span class="dt">data=</span>L, <span class="dt">vecpar=</span><span class="ot">TRUE</span>)
+<span class="kw">summary</span>(m3)</code></pre>
+<pre><code>## Maximum likelihood estimation
+##
+## Call:
+## mle2(minuslogl = ll, start = start, data = L, vecpar = TRUE)
+##
+## Coefficients:
+## Estimate Std. Error z value Pr(z)
+## alpha 1.337744 0.203356 6.5783 4.757e-11 ***
+## (Intercept) 1.340756 0.053763 24.9381 < 2.2e-16 ***
+## dexp -0.023555 0.019175 -1.2284 0.21929
+## I(dexp^2) 0.026019 0.013354 1.9484 0.05136 .
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
+##
+## -2 log L: 178.8027</code></pre>
+</div>
+<div id="comparacao-dos-ajustes-4" class="section level3">
+<h3>Comparação dos ajustes</h3>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+
+## Log-verossimilhaça.
+<span class="kw">cbind</span>(<span class="kw">logLik</span>(m0), <span class="kw">logLik</span>(m1), <span class="kw">logLik</span>(m3))</code></pre>
+<pre><code>## [,1] [,2] [,3]
+## [1,] -104.4391 NA -89.40136</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Estimativas dos parâmetros.
+<span class="kw">cbind</span>(<span class="kw">coef</span>(m0), <span class="kw">coef</span>(m1), <span class="kw">coef</span>(m3)[-<span class="dv">1</span>])</code></pre>
+<pre><code>## [,1] [,2] [,3]
+## (Intercept) 1.23887158 1.23887158 1.34075603
+## dexp -0.02572514 -0.02572514 -0.02355527
+## I(dexp^2) 0.02870051 0.02870051 0.02601916</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Estimativa do parâmetro de dispersão.
+<span class="kw">exp</span>(<span class="kw">coef</span>(m3)[<span class="dv">1</span>])</code></pre>
+<pre><code>## alpha
+## 3.810439</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Perfil de log-verossmilhança.
+<span class="kw">plot</span>(<span class="kw">profile</span>(m3, <span class="dt">which=</span><span class="dv">1</span>))</code></pre>
+<p><img src="data:image/png;base64,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" /></p>
+<pre class="sourceCode r"><code class="sourceCode r">a <-<span class="st"> </span><span class="kw">c</span>(<span class="dv">0</span>, <span class="kw">attr</span>(<span class="kw">model.matrix</span>(m0), <span class="st">"assign"</span>))
+ai <-<span class="st"> </span>a!=<span class="dv">0</span>
+L <-<span class="st"> </span><span class="kw">t</span>(<span class="kw">replicate</span>(<span class="kw">sum</span>(ai), <span class="kw">rbind</span>(<span class="kw">coef</span>(m3)*<span class="dv">0</span>), <span class="dt">simplify=</span><span class="st">"matrix"</span>))
+L[,ai] <-<span class="st"> </span><span class="kw">diag</span>(<span class="kw">sum</span>(ai))
+
+## Teste de Wald explicito.
+## t(L%*%coef(m3))%*%
+## solve(L%*%vcov(m3)%*%t(L))%*%
+## (L%*%coef(m3))
+<span class="kw">crossprod</span>(L%*%<span class="kw">coef</span>(m3), <span class="kw">solve</span>(L%*%<span class="kw">vcov</span>(m3)%*%<span class="kw">t</span>(L), L%*%<span class="kw">coef</span>(m3)))</code></pre>
+<pre><code>## [,1]
+## [1,] 5.483212</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Teste de Wald para interação (poderia ser LRT, claro).
+<span class="kw">linearHypothesis</span>(<span class="dt">model=</span>m0, ## É necessário um objeto glm.
+ <span class="dt">hypothesis.matrix=</span>L,
+ <span class="dt">vcov.=</span><span class="kw">vcov</span>(m3),
+ <span class="dt">coef.=</span><span class="kw">coef</span>(m3))</code></pre>
+<pre><code>## Linear hypothesis test
+##
+## Hypothesis:
+## dexp = 0
+## I(dexp^2) = 0
+##
+## Model 1: restricted model
+## Model 2: ncapu ~ dexp + I(dexp^2)
+##
+## Note: Coefficient covariance matrix supplied.
+##
+## Res.Df Df Chisq Pr(>Chisq)
+## 1 59
+## 2 57 2 5.4832 0.06447 .
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Teste pelo modelo quasi Poisson.
+<span class="kw">anova</span>(m1, <span class="dt">test=</span><span class="st">"Chisq"</span>)</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: quasipoisson, link: log
+##
+## Response: ncapu
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev Pr(>Chi)
+## NULL 59 20.800
+## dexp 1 0.49164 58 20.308 0.21759
+## I(dexp^2) 1 1.17575 57 19.133 0.05656 .
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">anova</span>(m1, <span class="dt">test=</span><span class="st">"F"</span>)</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model: quasipoisson, link: log
+##
+## Response: ncapu
+##
+## Terms added sequentially (first to last)
+##
+##
+## Df Deviance Resid. Df Resid. Dev F Pr(>F)
+## NULL 59 20.800
+## dexp 1 0.49164 58 20.308 1.5202 0.22265
+## I(dexp^2) 1 1.17575 57 19.133 3.6355 0.06161 .
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Ortogonalidade entre dispersão e locação.
+
+V <-<span class="st"> </span><span class="kw">cov2cor</span>(<span class="kw">vcov</span>(m3))
+<span class="kw">corrplot.mixed</span>(V, <span class="dt">upper=</span><span class="st">"ellipse"</span>, <span class="dt">col=</span><span class="st">"gray50"</span>)</code></pre>
+<p><img 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" /></p>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">dev.off</span>()</code></pre>
+<pre><code>## null device
+## 1</code></pre>
+</div>
+<div id="predicao-4" class="section level3">
+<h3>Predição</h3>
+<pre class="sourceCode r"><code class="sourceCode r">##----------------------------------------------------------------------
+## Predição das médias com IC.
+
+pred <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">dexp=</span><span class="kw">with</span>(da, <span class="kw">seq</span>(<span class="kw">min</span>(dexp), <span class="kw">max</span>(dexp), <span class="dt">l=</span><span class="dv">30</span>)))
+pred <-<span class="st"> </span><span class="kw">list</span>(<span class="dt">pois=</span>pred, <span class="dt">quasi=</span>pred, <span class="dt">cg=</span>pred)
+
+## Quantil normal.
+qn <-<span class="st"> </span><span class="kw">qnorm</span>(<span class="fl">0.975</span>)*<span class="kw">c</span>(<span class="dt">lwr=</span>-<span class="dv">1</span>, <span class="dt">fit=</span><span class="dv">0</span>, <span class="dt">upr=</span><span class="dv">1</span>)
+
+X <-<span class="st"> </span><span class="kw">model.matrix</span>(<span class="kw">formula</span>(m0)[-<span class="dv">2</span>], <span class="dt">data=</span>pred$cg)
+
+## Preditos pela Poisson.
+## aux <- predict(m0, newdata=pred$pois, se.fit=TRUE)
+## aux <- exp(aux$fit+outer(aux$se.fit, qn, FUN="*"))
+## pred$pois <- cbind(pred$pois, aux)
+aux <-<span class="st"> </span><span class="kw">confint</span>(<span class="kw">glht</span>(m0, <span class="dt">linfct=</span>X), <span class="dt">calpha=</span><span class="kw">univariate_calpha</span>())$confint
+<span class="kw">colnames</span>(aux)[<span class="dv">1</span>] <-<span class="st"> "fit"</span>
+pred$pois <-<span class="st"> </span><span class="kw">cbind</span>(pred$pois, <span class="kw">exp</span>(aux))
+
+## aux <- predict(m1, newdata=pred$quasi, se.fit=TRUE)
+## aux <- exp(aux$fit+outer(aux$se.fit, qn, FUN="*"))
+## pred$quasi <- cbind(pred$quasi, aux)
+aux <-<span class="st"> </span><span class="kw">confint</span>(<span class="kw">glht</span>(m1, <span class="dt">linfct=</span>X), <span class="dt">calpha=</span><span class="kw">univariate_calpha</span>())$confint
+<span class="kw">colnames</span>(aux)[<span class="dv">1</span>] <-<span class="st"> "fit"</span>
+pred$quasi <-<span class="st"> </span><span class="kw">cbind</span>(pred$quasi, <span class="kw">exp</span>(aux))
+
+alpha <-<span class="st"> </span><span class="kw">coef</span>(m3)[<span class="dv">1</span>] ## Locação.
+theta <-<span class="st"> </span><span class="kw">coef</span>(m3)[-<span class="dv">1</span>] ## Dispersão.
+
+## Preditor linear.
+pred$cg$eta <-<span class="st"> </span><span class="kw">c</span>(X%*%theta)
+
+## Matrix de covariância completa.
+V <-<span class="st"> </span><span class="kw">vcov</span>(m3)
+
+## Marginal em theta.
+Vm <-<span class="st"> </span>V[-<span class="dv">1</span>,-<span class="dv">1</span>]
+
+## Condicional.
+Vc <-<span class="st"> </span>V[-<span class="dv">1</span>,-<span class="dv">1</span>]-V[-<span class="dv">1</span>,<span class="dv">1</span>]%*%<span class="kw">solve</span>(V[<span class="dv">1</span>,<span class="dv">1</span>])%*%V[<span class="dv">1</span>,-<span class="dv">1</span>]
+
+<span class="kw">max</span>(<span class="kw">abs</span>(Vm-Vc))</code></pre>
+<pre><code>## [1] 5.565329e-05</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r">## Preditos pela Gamma-count.
+U <-<span class="st"> </span><span class="kw">chol</span>(Vm)
+aux <-<span class="st"> </span><span class="kw">sqrt</span>(<span class="kw">apply</span>(X%*%<span class="kw">t</span>(U), <span class="dt">MARGIN=</span><span class="dv">1</span>,
+ <span class="dt">FUN=</span>function(x){ <span class="kw">sum</span>(x^<span class="dv">2</span>) }))
+
+aux <-<span class="st"> </span>pred$cg$eta+<span class="kw">outer</span>(aux, qn, <span class="dt">FUN=</span><span class="st">"*"</span>)
+aux <-<span class="st"> </span><span class="kw">apply</span>(aux, <span class="dt">MARGIN=</span><span class="dv">2</span>,
+ <span class="dt">FUN=</span>function(col){
+ <span class="kw">sapply</span>(col, <span class="dt">FUN=</span>eta2mean,
+ <span class="dt">offset=</span><span class="dv">1</span>, <span class="dt">alpha=</span>alpha)
+ })
+pred$cg <-<span class="st"> </span><span class="kw">cbind</span>(pred$cg, aux)
+
+##----------------------------------------------------------------------
+
+pred <-<span class="st"> </span><span class="kw">ldply</span>(pred, <span class="dt">.id=</span><span class="st">"modelo"</span>)
+pred <-<span class="st"> </span><span class="kw">arrange</span>(pred, dexp)
+<span class="kw">str</span>(pred)</code></pre>
+<pre><code>## 'data.frame': 90 obs. of 6 variables:
+## $ modelo: Factor w/ 3 levels "pois","quasi",..: 1 2 3 1 2 3 1 2 3 1 ...
+## $ dexp : num -2.5 -2.5 -2.5 -2.33 -2.33 ...
+## $ fit : num 4.4 4.4 4.4 4.28 4.28 ...
+## $ lwr : num 3.36 3.77 3.79 3.37 3.73 ...
+## $ upr : num 5.78 5.14 5.11 5.44 4.91 ...
+## $ eta : num NA NA 1.56 NA NA ...</code></pre>
+<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">source</span>(<span class="st">"https://raw.githubusercontent.com/walmes/wzRfun/master/R/prepanel.cbH.R"</span>)
+<span class="kw">source</span>(<span class="st">"https://raw.githubusercontent.com/walmes/wzRfun/master/R/panel.cbH.R"</span>)
+
+<span class="kw">xyplot</span>(ncapu~dexp, <span class="dt">data=</span>da, <span class="dt">jitter.x=</span><span class="ot">TRUE</span>, <span class="dt">pch=</span><span class="dv">19</span>, <span class="dt">col=</span><span class="dv">1</span>)+
+<span class="st"> </span><span class="kw">as.layer</span>(
+ <span class="dt">under=</span><span class="ot">TRUE</span>,
+ <span class="kw">xyplot</span>(fit~dexp, <span class="dt">data=</span>pred, <span class="dt">groups=</span>modelo, <span class="dt">type=</span><span class="st">"l"</span>,
+ <span class="dt">ly=</span>pred$lwr, <span class="dt">uy=</span>pred$upr, <span class="dt">cty=</span><span class="st">"bands"</span>,
+ ## fill="gray90",
+ <span class="dt">alpha=</span><span class="fl">0.5</span>,
+ <span class="dt">prepanel=</span>prepanel.cbH,
+ <span class="dt">panel.groups=</span>panel.cbH,
+ <span class="dt">panel=</span>panel.superpose)
+ )</code></pre>
+<p><img 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" /></p>
+<hr />
+</div>
+</div>
+<div id="mais-dados-para-se-considerar" class="section level2">
+<h2>Mais dados para se considerar</h2>
+<ul>
+<li><a href="http://www.leg.ufpr.br/~walmes/data/banana_culttecido.txt" class="uri">http://www.leg.ufpr.br/~walmes/data/banana_culttecido.txt</a></li>
+<li><a href="http://www.leg.ufpr.br/~walmes/data/frango_comportamento.txt" class="uri">http://www.leg.ufpr.br/~walmes/data/frango_comportamento.txt</a></li>
+<li><a href="http://www.leg.ufpr.br/~walmes/data/mosca_algodao_aval.txt" class="uri">http://www.leg.ufpr.br/~walmes/data/mosca_algodao_aval.txt</a></li>
+</ul>
+</div>
+
+
+
+<!-- dynamically load mathjax for compatibility with self-contained -->
+<script>
+ (function () {
+ var script = document.createElement("script");
+ script.type = "text/javascript";
+ script.src = "https://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML";
+ document.getElementsByTagName("head")[0].appendChild(script);
+ })();
+</script>
+
+</body>
+</html>
diff --git a/examples/moscaBranca.txt b/examples/moscaBranca.txt
new file mode 100644
index 0000000000000000000000000000000000000000..69bcefeafd82cfa9ffbc150ae30fa54a640a6199
--- /dev/null
+++ b/examples/moscaBranca.txt
@@ -0,0 +1,241 @@
+data vari bloc sup med inf
+2009-12-11 BRS 245 RR 1 168 71 39
+2009-12-11 BRS 245 RR 2 30 46 22
+2009-12-11 BRS 245 RR 3 28 36 7
+2009-12-11 BRS 245 RR 4 6 1 31
+2009-12-11 BRS 243 RR 1 31 22 28
+2009-12-11 BRS 243 RR 2 4 6 10
+2009-12-11 BRS 243 RR 3 3 12 27
+2009-12-11 BRS 243 RR 4 48 76 13
+2009-12-11 BRS 246 RR 1 100 50 34
+2009-12-11 BRS 246 RR 2 54 15 7
+2009-12-11 BRS 246 RR 3 1 50 12
+2009-12-11 BRS 246 RR 4 9 2 13
+2009-12-11 BRS 239 1 40 32 44
+2009-12-11 BRS 239 2 76 38 16
+2009-12-11 BRS 239 3 52 43 25
+2009-12-11 BRS 239 4 23 41 16
+2009-12-11 EMBRAPA 48 1 84 61 56
+2009-12-11 EMBRAPA 48 2 129 189 133
+2009-12-11 EMBRAPA 48 3 84 35 12
+2009-12-11 EMBRAPA 48 4 34 17 30
+2009-12-11 CD 214 RR 1 17 137 3
+2009-12-11 CD 214 RR 2 107 95 31
+2009-12-11 CD 214 RR 3 130 120 26
+2009-12-11 CD 214 RR 4 0 34 25
+2009-12-11 CD 202 1 16 21 12
+2009-12-11 CD 202 2 260 34 44
+2009-12-11 CD 202 3 91 67 19
+2009-12-11 CD 202 4 5 2 7
+2009-12-11 M 7908 RR 1 27 37 29
+2009-12-11 M 7908 RR 2 103 72 32
+2009-12-11 M 7908 RR 3 50 60 32
+2009-12-11 M 7908 RR 4 53 26 41
+2009-12-11 VMAX RR 1 24 12 11
+2009-12-11 VMAX RR 2 67 6 15
+2009-12-11 VMAX RR 3 0 0 0
+2009-12-11 VMAX RR 4 12 26 36
+2009-12-11 CD 219 RR 1 0 22 16
+2009-12-11 CD 219 RR 2 391 208 88
+2009-12-11 CD 219 RR 3 53 81 23
+2009-12-11 CD 219 RR 4 38 39 93
+2009-12-19 BRS 245 RR 1 147 54 37
+2009-12-19 BRS 245 RR 2 98 65 17
+2009-12-19 BRS 245 RR 3 0 53 4
+2009-12-19 BRS 245 RR 4 16 11 6
+2009-12-19 BRS 243 RR 1 79 96 38
+2009-12-19 BRS 243 RR 2 4 20 19
+2009-12-19 BRS 243 RR 3 19 2 12
+2009-12-19 BRS 243 RR 4 8 3 5
+2009-12-19 BRS 246 RR 1 77 42 32
+2009-12-19 BRS 246 RR 2 72 110 23
+2009-12-19 BRS 246 RR 3 64 17 14
+2009-12-19 BRS 246 RR 4 25 7 13
+2009-12-19 BRS 239 1 53 14 7
+2009-12-19 BRS 239 2 144 38 12
+2009-12-19 BRS 239 3 136 48 42
+2009-12-19 BRS 239 4 49 23 30
+2009-12-19 EMBRAPA 48 1 69 38 19
+2009-12-19 EMBRAPA 48 2 172 158 83
+2009-12-19 EMBRAPA 48 3 150 104 32
+2009-12-19 EMBRAPA 48 4 22 12 8
+2009-12-19 CD 214 RR 1 36 25 10
+2009-12-19 CD 214 RR 2 59 101 27
+2009-12-19 CD 214 RR 3 376 115 82
+2009-12-19 CD 214 RR 4 363 170 62
+2009-12-19 CD 202 1 14 21 19
+2009-12-19 CD 202 2 175 160 51
+2009-12-19 CD 202 3 77 51 23
+2009-12-19 CD 202 4 38 34 6
+2009-12-19 M 7908 RR 1 52 15 12
+2009-12-19 M 7908 RR 2 138 261 139
+2009-12-19 M 7908 RR 3 87 48 19
+2009-12-19 M 7908 RR 4 21 10 16
+2009-12-19 VMAX RR 1 53 17 9
+2009-12-19 VMAX RR 2 129 65 68
+2009-12-19 VMAX RR 3 11 18 7
+2009-12-19 VMAX RR 4 12 19 14
+2009-12-19 CD 219 RR 1 11 40 18
+2009-12-19 CD 219 RR 2 85 1157 278
+2009-12-19 CD 219 RR 3 95 75 24
+2009-12-19 CD 219 RR 4 24 34 135
+2009-12-24 BRS 245 RR 1 138 54 39
+2009-12-24 BRS 245 RR 2 47 56 14
+2009-12-24 BRS 245 RR 3 32 14 10
+2009-12-24 BRS 245 RR 4 24 21 5
+2009-12-24 BRS 243 RR 1 85 38 11
+2009-12-24 BRS 243 RR 2 21 7 19
+2009-12-24 BRS 243 RR 3 8 3 14
+2009-12-24 BRS 243 RR 4 10 30 4
+2009-12-24 BRS 246 RR 1 99 85 40
+2009-12-24 BRS 246 RR 2 84 56 23
+2009-12-24 BRS 246 RR 3 17 23 13
+2009-12-24 BRS 246 RR 4 51 19 23
+2009-12-24 BRS 239 1 156 42 22
+2009-12-24 BRS 239 2 60 66 10
+2009-12-24 BRS 239 3 144 57 11
+2009-12-24 BRS 239 4 75 23 15
+2009-12-24 EMBRAPA 48 1 135 44 43
+2009-12-24 EMBRAPA 48 2 87 169 62
+2009-12-24 EMBRAPA 48 3 268 107 111
+2009-12-24 EMBRAPA 48 4 20 14 3
+2009-12-24 CD 214 RR 1 85 47 25
+2009-12-24 CD 214 RR 2 76 108 36
+2009-12-24 CD 214 RR 3 265 155 146
+2009-12-24 CD 214 RR 4 464 223 170
+2009-12-24 CD 202 1 25 4 9
+2009-12-24 CD 202 2 182 100 23
+2009-12-24 CD 202 3 77 53 22
+2009-12-24 CD 202 4 64 65 10
+2009-12-24 M 7908 RR 1 39 13 16
+2009-12-24 M 7908 RR 2 216 152 151
+2009-12-24 M 7908 RR 3 62 32 22
+2009-12-24 M 7908 RR 4 82 24 19
+2009-12-24 VMAX RR 1 57 9 16
+2009-12-24 VMAX RR 2 88 176 26
+2009-12-24 VMAX RR 3 0 0 0
+2009-12-24 VMAX RR 4 71 4 11
+2009-12-24 CD 219 RR 1 89 99 14
+2009-12-24 CD 219 RR 2 15 751 423
+2009-12-24 CD 219 RR 3 131 79 13
+2009-12-24 CD 219 RR 4 140 159 215
+2010-01-02 BRS 245 RR 1 25 11 30
+2010-01-02 BRS 245 RR 2 8 11 3
+2010-01-02 BRS 245 RR 3 9 2 0
+2010-01-02 BRS 245 RR 4 18 8 3
+2010-01-02 BRS 243 RR 1 42 19 3
+2010-01-02 BRS 243 RR 2 6 3 6
+2010-01-02 BRS 243 RR 3 2 0 3
+2010-01-02 BRS 243 RR 4 8 25 3
+2010-01-02 BRS 246 RR 1 24 30 14
+2010-01-02 BRS 246 RR 2 18 7 2
+2010-01-02 BRS 246 RR 3 7 2 1
+2010-01-02 BRS 246 RR 4 25 14 11
+2010-01-02 BRS 239 1 38 20 55
+2010-01-02 BRS 239 2 21 4 5
+2010-01-02 BRS 239 3 21 23 7
+2010-01-02 BRS 239 4 8 12 5
+2010-01-02 EMBRAPA 48 1 10 7 13
+2010-01-02 EMBRAPA 48 2 27 13 12
+2010-01-02 EMBRAPA 48 3 101 23 18
+2010-01-02 EMBRAPA 48 4 11 8 6
+2010-01-02 CD 214 RR 1 27 16 27
+2010-01-02 CD 214 RR 2 12 35 11
+2010-01-02 CD 214 RR 3 62 24 54
+2010-01-02 CD 214 RR 4 36 48 3
+2010-01-02 CD 202 1 18 8 6
+2010-01-02 CD 202 2 41 6 17
+2010-01-02 CD 202 3 28 7 10
+2010-01-02 CD 202 4 21 12 14
+2010-01-02 M 7908 RR 1 22 11 2
+2010-01-02 M 7908 RR 2 78 30 18
+2010-01-02 M 7908 RR 3 41 12 1
+2010-01-02 M 7908 RR 4 101 83 60
+2010-01-02 VMAX RR 1 34 6 4
+2010-01-02 VMAX RR 2 42 30 10
+2010-01-02 VMAX RR 3 0 4 2
+2010-01-02 VMAX RR 4 43 7 5
+2010-01-02 CD 219 RR 1 166 39 33
+2010-01-02 CD 219 RR 2 135 265 65
+2010-01-02 CD 219 RR 3 26 43 1
+2010-01-02 CD 219 RR 4 77 88 9
+2010-01-11 BRS 245 RR 1 2 7 10
+2010-01-11 BRS 245 RR 2 3 5 2
+2010-01-11 BRS 245 RR 3 1 1 0
+2010-01-11 BRS 245 RR 4 4 0 3
+2010-01-11 BRS 243 RR 1 0 5 3
+2010-01-11 BRS 243 RR 2 0 1 1
+2010-01-11 BRS 243 RR 3 1 1 0
+2010-01-11 BRS 243 RR 4 4 0 2
+2010-01-11 BRS 246 RR 1 4 9 6
+2010-01-11 BRS 246 RR 2 3 4 0
+2010-01-11 BRS 246 RR 3 0 0 0
+2010-01-11 BRS 246 RR 4 2 0 0
+2010-01-11 BRS 239 1 1 10 2
+2010-01-11 BRS 239 2 1 0 0
+2010-01-11 BRS 239 3 4 3 1
+2010-01-11 BRS 239 4 2 0 1
+2010-01-11 EMBRAPA 48 1 0 2 1
+2010-01-11 EMBRAPA 48 2 2 0 0
+2010-01-11 EMBRAPA 48 3 3 1 2
+2010-01-11 EMBRAPA 48 4 1 0 1
+2010-01-11 CD 214 RR 1 2 0 1
+2010-01-11 CD 214 RR 2 3 7 4
+2010-01-11 CD 214 RR 3 4 16 8
+2010-01-11 CD 214 RR 4 1 0 4
+2010-01-11 CD 202 1 12 2 0
+2010-01-11 CD 202 2 7 1 4
+2010-01-11 CD 202 3 1 0 0
+2010-01-11 CD 202 4 3 1 0
+2010-01-11 M 7908 RR 1 2 9 3
+2010-01-11 M 7908 RR 2 11 6 4
+2010-01-11 M 7908 RR 3 4 1 1
+2010-01-11 M 7908 RR 4 55 10 0
+2010-01-11 VMAX RR 1 1 1 1
+2010-01-11 VMAX RR 2 23 7 0
+2010-01-11 VMAX RR 3 5 1 4
+2010-01-11 VMAX RR 4 10 0 0
+2010-01-11 CD 219 RR 1 65 12 4
+2010-01-11 CD 219 RR 2 217 145 27
+2010-01-11 CD 219 RR 3 10 2 1
+2010-01-11 CD 219 RR 4 11 4 0
+2010-01-18 BRS 245 RR 1 5 9 12
+2010-01-18 BRS 245 RR 2 3 0 1
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+2010-01-18 BRS 246 RR 1 5 2 10
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+2010-01-18 EMBRAPA 48 4 2 1 4
+2010-01-18 CD 214 RR 1 5 2 4
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+2010-01-18 CD 202 1 1 9 6
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+2010-01-18 M 7908 RR 1 3 1 13
+2010-01-18 M 7908 RR 2 5 0 0
+2010-01-18 M 7908 RR 3 1 0 0
+2010-01-18 M 7908 RR 4 2 0 0
+2010-01-18 VMAX RR 1 0 1 0
+2010-01-18 VMAX RR 2 13 3 0
+2010-01-18 VMAX RR 3 1 0 0
+2010-01-18 VMAX RR 4 6 1 3
+2010-01-18 CD 219 RR 1 49 12 2
+2010-01-18 CD 219 RR 2 110 42 28
+2010-01-18 CD 219 RR 3 7 3 0
+2010-01-18 CD 219 RR 4 4 3 4
diff --git a/examples/ovos.txt b/examples/ovos.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7efcd47a26803c5de8f0c43312368a79918e12b8
--- /dev/null
+++ b/examples/ovos.txt
@@ -0,0 +1,2101 @@
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