The mglm4twin package fits multivariate generalized linear models for twin and family data. (Bonat and Hjelmborg, 2020). Check the paper here.
Introduction
mglm4twin fits multivariate generalized linear models for twin and family data. It allows use a different linear predictor for each response variable of a multivariate response. The response variable can be continuous or discrete, like counts and binomial and also limited continuous or discrete/continuous inflated responses. The most important and relevant feature is that many covariance structures can be used to model the relations among different traits.
Download and install
Linux/Mac
Use the devtools package (available from CRAN) to install automatically from this GitHub repository:
library(devtools)
install_github("bonatwagner/mglm4twin")Alternatively, download the package tarball: mglm4twin_0.5.0.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 mglm4twin_0.5.0.tar.gzOr, inside an R session:
install.packages("mglm4twin_0.5.0.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: mglm4twin_0.5.0.zip (do not unzip it under Windows), put the file in your working directory, and from inside R:
install.packages("mglm4twin_0.5.0.zip", repos = NULL,
dependencies = TRUE)Documentation
The reference manual in PDF can be found here: mglm4twin-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.