MultRegCMP
Bayesian Multivariate Conway-Maxwell-Poisson Regression Model for Correlated Count Data
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.
- Version0.1.0
- R versionunknown
- LicenseMIT
- Needs compilation?No
- Last release06/20/2024
Documentation
Team
Mauro Florez
Insights
Last 30 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports6 packages