Package: MultRegCMP
Type: Package
Title: Bayesian Multivariate Conway-Maxwell-Poisson Regression Model
        for Correlated Count Data
Version: 0.1.0
Description: Fits a Bayesian Regression Model for multivariate count data. This model assumes that the data is distributed according to the Conway-Maxwell-Poisson distribution, and for each response variable it is associate different covariates. This model allows to account for correlations between the counts by using latent effects based on the Chib and Winkelmann (2001) <http://www.jstor.org/stable/1392277> proposal.
Authors@R: 
    person("Mauro", "Florez", , "mf53@rice.edu", role = c("aut", "cre"))
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: purrr, mvnfast, stats, progress, bayesplot, ggplot2, cowplot
Depends: R (>= 2.10)
RoxygenNote: 7.3.1
Config/Needs/website: rmarkdown
NeedsCompilation: no
Packaged: 2024-06-19 19:25:11 UTC; User
Author: Mauro Florez [aut, cre]
Maintainer: Mauro Florez <mf53@rice.edu>
Repository: CRAN
Date/Publication: 2024-06-20 16:30:06 UTC
Built: R 4.6.0; ; 2026-04-29 22:31:30 UTC; unix
