Package: MultRegCMP 0.1.0

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.

Authors:Mauro Florez [aut, cre]

MultRegCMP_0.1.0.tar.gz
MultRegCMP_0.1.0.zip(r-4.5)MultRegCMP_0.1.0.zip(r-4.4)MultRegCMP_0.1.0.zip(r-4.3)
MultRegCMP_0.1.0.tgz(r-4.4-any)MultRegCMP_0.1.0.tgz(r-4.3-any)
MultRegCMP_0.1.0.tar.gz(r-4.5-noble)MultRegCMP_0.1.0.tar.gz(r-4.4-noble)
MultRegCMP_0.1.0.tgz(r-4.4-emscripten)MultRegCMP_0.1.0.tgz(r-4.3-emscripten)
MultRegCMP.pdf |MultRegCMP.html
MultRegCMP/json (API)

# Install 'MultRegCMP' in R:
install.packages('MultRegCMP', repos = c('https://mauroflorez.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/mauroflorez/cmp/issues

Datasets:
  • epl_20_21 - Scores English Premier League Season 2020-2021

On CRAN:

3.30 score 4 scripts 162 downloads 6 exports 55 dependencies

Last updated 5 months agofrom:a30c24d633. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 12 2024
R-4.5-winOKOct 12 2024
R-4.5-linuxOKOct 12 2024
R-4.4-winOKOct 12 2024
R-4.4-macOKOct 12 2024
R-4.3-winOKOct 12 2024
R-4.3-macOKOct 12 2024

Exports:com_samplerDIC_cmpfitting_plotsllk_cmpmcmc_cmpprod_list

Dependencies:abindbackportsbayesplotBHcheckmateclicolorspacecowplotcrayondistributionaldplyrfansifarvergenericsggplot2ggridgesgluegtablehmsisobandlabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvmunsellmvnfastnlmenumDerivpillarpkgconfigplyrposteriorprettyunitsprogresspurrrR6RColorBrewerRcppRcppArmadilloreshape2rlangscalesstringistringrtensorAtibbletidyselectutf8vctrsviridisLitewithr