mcglm 0.0.1
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
Use the devtools
package (available from
CRAN) to
install automatically from this GitLab repository:
library(devtools)
install_git("http://git.leg.ufpr.br/wbonat/mcglm.git")
Alternatively, download the package tarball: mcglm_0.0.1.tar.gz and run from a UNIX terminal (make sure you are on the container file directory):
R CMD INSTALL -l /path/to/your/R/library mcglm_0.0.1.tar.gz
Or, inside an R
session:
install.packages("mcglm_0.0.1.tar.gz", repos = NULL,
lib.loc = "/path/to/your/R/library",
dependencies = TRUE)
Note that -l /path/to/your/R/library
in the former and lib.loc = "/path/to/your/R/library"
in the latter are optional. Only use it if
you want to install in a personal library, other than the standard R
library.
Windows
Download Windows binary version: mcglm_0.0.1.zip (do not unzip
it under Windows), put the file in your working directory, and from
inside R
:
install.packages("mcglm_0.0.1.zip", repos = NULL,
dependencies = TRUE)
Development version
By default, if you use devtools::install_git()
, or download any of the
package tarball or Windows binary version, it will install the stable
version of the package (from the master
branch of this repository).
If you want to install the development version, you can use
library(devtools)
install_git("http://git.leg.ufpr.br/wbonat/mcglm.git", branch = "devel")
Note that the development version can contain bugs and other unknown features, so use it at your own risk!
Documentation
The reference manual in PDF can be found here: mcglm-manual.pdf
Contributing
This R package is develop using roxygen2
for documentation and
devtools
to check and build. Also, we adopt the Gitflow worflow
in this repository. Please, see the
instructions for contributing to collaborate.
License
This package is released under the GNU General Public License (GPL) v3.0.
See LICENSE