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MultRegCMP  

Bayesian Multivariate Conway-Maxwell-Poisson Regression Model for Correlated Count Data
View on CRAN: Click here


Download and install MultRegCMP package within the R console
Install from CRAN:
install.packages("MultRegCMP")

Install from Github:
library("remotes")
install_github("cran/MultRegCMP")

Install by package version:
library("remotes")
install_version("MultRegCMP", "0.1.0")



Attach the package and use:
library("MultRegCMP")
Maintained by
Mauro Florez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-06-20
Latest Update: 2024-06-20
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.
How to cite:
Mauro Florez (2024). MultRegCMP: Bayesian Multivariate Conway-Maxwell-Poisson Regression Model for Correlated Count Data. R package version 0.1.0, https://cran.r-project.org/web/packages/MultRegCMP. Accessed 18 Sep. 2026.
Previous versions and publish date:
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Complete documentation for MultRegCMP
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Full MultRegCMP package functions and examples
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