mcglm
Multivariate covariance generalized linear models. mcglm fits
multivariate covariance generalized linear models. It allows using a
different linear predictor for each response variable of a
multivariate response vector. 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.
Project owner: Wagner
Hugo Bonat.