MultRegCMP-package: MultRegCMP: Bayesian Multivariate Conway-Maxwell-Poisson...
In MultRegCMP: Bayesian Multivariate Conway-Maxwell-Poisson Regression Model for Correlated Count Data
MultRegCMP-package R Documentation
MultRegCMP: Bayesian Multivariate Conway-Maxwell-Poisson Regression Model for Correlated Count Data
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.
Author(s)
Maintainer: Mauro Florez mf53@rice.edu
MultRegCMP documentation built on June 22, 2024, 9:47 a.m.
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| MultRegCMP-package | R Documentation |
MultRegCMP: Bayesian Multivariate Conway-Maxwell-Poisson Regression Model for Correlated Count Data
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.
Author(s)
Maintainer: Mauro Florez mf53@rice.edu
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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