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MultRegCMP

Bayesian Multivariate Conway-Maxwell-Poisson Regression Model for Correlated Count Data

v0.1.0 · Jun 20, 2024 · MIT + file LICENSE

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.

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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies purrr mvnfast progress bayesplot ggplot2 cowplot MultRegCMP

Version History

1 tracked
new 0.1.0 Mar 10, 2026

R Observatory began tracking this package on Mar 10, 2026; it first appeared on CRAN Jun 20, 2024. Releases before tracking aren’t shown.