README.Rmd

## Get VERSION and create file names
ver <- sub(x=grep(x=readLines("DESCRIPTION"), pattern="^Version: ",
                  value=TRUE),
           pattern="^Version: ", replacement="")
pkg.name <- "mcglm_"
pkg.source <- paste0(pkg.name, ver, ".tar.gz")
pkg.win <- paste0(pkg.name, ver, ".zip")

mcglm r ver

Build status for the stable version (master branch)

Build status for the development version (devel branch)

The mcglm package fit multivariate covariance generalized linear models (Bonat and Jorgensen, 2015).

Introduction

mcglm fit multivariate covariance generalized linear models. It allows use a different linear predictor for each response variable of a multivariate response. The response variable can be continous or dicrete, like counts and binary and also limited continuos ou discrete/continuous inflated responses. The most important and relevant feature is that many covariance structures can be used to model the relations among variables.

This package is part of the Thesis of the first author.

Download and install

Linux/Mac