Package: multicmp 1.0
multicmp: Flexible Modeling of Multivariate Count Data via the Multivariate Conway-Maxwell-Poisson Distribution
A toolkit containing statistical analysis models motivated by multivariate forms of the Conway-Maxwell-Poisson (COM-Poisson) distribution for flexible modeling of multivariate count data, especially in the presence of data dispersion. Currently the package only supports bivariate data, via the bivariate COM-Poisson distribution described in Sellers et al. (2016) <doi:10.1016/j.jmva.2016.04.007>. Future development will extend the package to higher-dimensional data.
Authors:
multicmp_1.0.tar.gz
multicmp_1.0.zip(r-4.5)multicmp_1.0.zip(r-4.4)multicmp_1.0.zip(r-4.3)
multicmp_1.0.tgz(r-4.4-any)multicmp_1.0.tgz(r-4.3-any)
multicmp_1.0.tar.gz(r-4.5-noble)multicmp_1.0.tar.gz(r-4.4-noble)
multicmp_1.0.tgz(r-4.4-emscripten)multicmp_1.0.tgz(r-4.3-emscripten)
multicmp.pdf |multicmp.html✨
multicmp/json (API)
| # Install 'multicmp' in R: |
| install.packages('multicmp', repos = c('https://diagdavenport.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/diagdavenport/multicmp/issues
- accidents - Shunter accidents
Last updated 6 years agofrom:b5e7d69340. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 06 2024 |
| R-4.5-win | NOTE | Nov 06 2024 |
| R-4.5-linux | NOTE | Nov 06 2024 |
| R-4.4-win | NOTE | Nov 06 2024 |
| R-4.4-mac | NOTE | Nov 06 2024 |
| R-4.3-win | OK | Nov 06 2024 |
| R-4.3-mac | OK | Nov 06 2024 |
Exports:dbivCMPmulticmpests
Dependencies:numDeriv
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Shunter accidents | accidents |
| The Bivariate Conway-Maxwell-Poisson Distribution | dbivCMP |
| Bivariate COM-Poisson Parameter Estimation | multicmpests |
