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:
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-4.5-any)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')) |
Bug tracker:https://github.com/mauroflorez/cmp/issues
- epl_20_21 - Scores English Premier League Season 2020-2021
Last updated 9 months agofrom:a30c24d633. Checks:8 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 09 2025 |
| R-4.5-win | OK | Feb 09 2025 |
| R-4.5-mac | OK | Feb 09 2025 |
| R-4.5-linux | OK | Feb 09 2025 |
| R-4.4-win | OK | Feb 09 2025 |
| R-4.4-mac | OK | Feb 09 2025 |
| R-4.3-win | OK | Feb 09 2025 |
| R-4.3-mac | OK | Feb 09 2025 |
Exports:com_samplerDIC_cmpfitting_plotsllk_cmpmcmc_cmpprod_list
Dependencies:abindbackportsbayesplotBHcheckmateclicolorspacecowplotcrayondistributionaldplyrfansifarvergenericsggplot2ggridgesgluegtablehmsisobandlabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvmunsellmvnfastnlmenumDerivpillarpkgconfigplyrposteriorprettyunitsprogresspurrrR6RColorBrewerRcppRcppArmadilloreshape2rlangscalesstringistringrtensorAtibbletidyselectutf8vctrsviridisLitewithr
