Mixed Regression Models with Generalized Log-Gamma Random Effects

Multivariate distribution derived from a Bernoulli mixed model under a marginal approach, incorporating a non-normal random intercept whose distribution is assumed to follow a generalized log-gamma (GLG) specification under a particular parameter setting. Estimation is performed by maximizing the log-likelihood using numerical optimization techniques (Lizandra C. Fabio, Vanessa Barros, Cristian Lobos, Jalmar M. F. Carrasco, Marginal multivariate approach: A novel strategy for handling correlated binary outcomes, 2025, under submission).


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("MBRM")

0.1.1 by Jalmar M. F. Carrasco, 10 months ago


Browse source code at https://github.com/cran/MBRM


Authors: Lizandra C. Fabio [aut] , Vanessa Barros [aut] , Cristian Lobos [aut] , Jalmar M. F. Carrasco [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports Rcpp, stats, Formula, tibble, dplyr, ggplot2

Linking to Rcpp


See at CRAN