Package: multicmp
Type: Package
Title: Flexible Modeling of Multivariate Count Data via the
        Multivariate Conway-Maxwell-Poisson Distribution
Version: 1.0
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 <diag.davenport@gmail.com>
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) <doi:10.1016/j.jmva.2016.04.007>. 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
Repository: https://diagdavenport.r-universe.dev
Date/Publication: 2018-06-29 11:41:55 UTC
RemoteUrl: https://github.com/diagdavenport/multicmp
RemoteRef: HEAD
RemoteSha: b5e7d69340acad4fe1eb20c130fc01412b275536
NeedsCompilation: no
Packaged: 2026-09-22 09:21:53 UTC; root
Author: Kimberly Sellers [aut],
  Darcy Steeg Morris [aut],
  Narayanaswamy Balakrishnan [aut],
  Diag Davenport [aut, cre]