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mzimp: Zero-Inflated Mixed Poisson Regression for Multivariate Count Data

Fits and selects zero-inflated mixed Poisson models for multivariate count regression. Supports multiple mixing distributions and variance specifications for flexible marginal modeling, while allowing dependence in the structural-zero components and latent mixing intensities to be modeled separately through copulas. The methodology is described in Nguyen (2026) <doi:10.48550/arXiv.2608.12732>.

Version: 0.1.0
Imports: Rcpp, numDeriv, MASS, statmod, VineCopula, codetools, mvtnorm, pbivnorm, pkgload, ps, randtoolbox
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, PLNmodels
Published: 2026-11-06
DOI: 10.32614/CRAN.package.mzimp
Author: Quang Huy Nguyen [aut, cre, cph]
Maintainer: Quang Huy Nguyen <huynqtkt at neu.edu.vn>
License: GPL (≥ 3)
NeedsCompilation: yes
CRAN checks: mzimp results

Documentation:

Reference manual: mzimp.html , mzimp.pdf

Downloads:

Package source: mzimp_0.1.0.tar.gz
Windows binaries: r-devel: mzimp_0.1.0.zip, r-release: mzimp_0.1.0.zip, r-oldrel: mzimp_0.1.0.zip
macOS binaries: r-release (arm64): mzimp_0.1.0.tgz, r-oldrel (arm64): mzimp_0.1.0.tgz, r-release (x86_64): mzimp_0.1.0.tgz, r-oldrel (x86_64): mzimp_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mzimp to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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