Mixed Regression Models with Generalized Log-Gamma Random Effects R package MBRM version 0.1.1 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). Software Depends: R (>= 3.5) Imports: Rcpp, stats, Formula, tibble, dplyr, ggplot2 LinkingTo: Rcpp Jalmar M. F. Carrasco <carrasco.jalmar@ufba.br> Comprehensive R Archive Network (CRAN) Lizandra C. Fabio [aut], Vanessa Barros [aut], Cristian Lobos [aut], Jalmar M. F. Carrasco [aut, cre] GPL-3 2025-12-22 application/tgz https://CRAN.R-project.org/package=MBRM doi:10.32614/CRAN.package.MBRM