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-4.7-any)MultRegCMP_0.1.0.zip(r-4.6-any)MultRegCMP_0.1.0.zip(r-4.5-any)
MultRegCMP_0.1.0.tgz(r-4.6-any)MultRegCMP_0.1.0.tgz(r-4.5-any)
MultRegCMP_0.1.0.tar.gz(r-4.7-any)MultRegCMP_0.1.0.tar.gz(r-4.6-any)
MultRegCMP_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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

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

On CRAN:

Conda:

2.70 score 1 stars 4 scripts 185 downloads 6 exports 52 dependencies

Last updated from:a30c24d633. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK143
source / vignettesOK225
linux-releaseOK142
macos-releaseOK168
macos-oldrelOK203
windows-develOK80
windows-releaseOK92
windows-oldrelOK95
wasm-releaseOK118

Exports:com_samplerDIC_cmpfitting_plotsllk_cmpmcmc_cmpprod_list

Dependencies:abindbackportsbayesplotBHcheckmateclicowplotcpp11crayondistributionaldplyrfarvergenericsggdistggplot2ggridgesgluegtablehmsisobandlabelinglifecyclemagrittrmatrixStatsmvnfastnumDerivpillarpkgconfigplyrposteriorprettyunitsprogresspurrrquadprogR6RColorBrewerRcppRcppArmadilloreshape2rlangS7scalesstringistringrtensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr