Package: multicmp Type: Package Title: Flexible Modeling of Multivariate Count Data via the Multivariate Conway-Maxwell-Poisson Distribution Version: 1.1 Authors@R: c( person("Kimberly", "Sellers", email = "Kimberly.Sellers@georgetown.edu", role = "aut"), person("Darcy" , "Steeg Morris", role = "aut"), person("Narayanaswamy" , "Balakrishnan" , role = "aut"), person("Diag", "Davenport", email = "diag.davenport@gmail.com", role = c("aut", "cre")) ) Maintainer: Diag Davenport Description: 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) . Future development will extend the package to higher-dimensional data. Imports: stats, numDeriv URL: http://dx.doi.org/10.1016/j.jmva.2016.04.007 BugReports: https://github.com/diagdavenport/multicmp/issues License: GPL-3 LazyData: TRUE RoxygenNote: 6.0.1 NeedsCompilation: no Packaged: 2026-10-12 23:14:28 UTC; root Author: Kimberly Sellers [aut], Darcy Steeg Morris [aut], Narayanaswamy Balakrishnan [aut], Diag Davenport [aut, cre] Repository: https://cranhaven.r-universe.dev Date/Publication: 2026-10-12 12:02:00 UTC RemoteUrl: https://github.com/cranhaven/cranhaven.r-universe.dev RemoteRef: package/multicmp RemoteSha: efdd83b6d02b6db8629fdbae45553dd9b8cbafbe RemoteSubdir: multicmp