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) .


Reference manual

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install.packages("mzimp")

0.1.0 by Quang Huy Nguyen, 15 hours ago


Browse source code at https://github.com/cran/mzimp


Authors: Quang Huy Nguyen [aut, cre, cph]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports Rcpp, numDeriv, MASS, statmod, VineCopula, codetools, mvtnorm, pbivnorm, pkgload, ps, randtoolbox

Suggests knitr, rmarkdown, PLNmodels

Linking to Rcpp, RcppArmadillo


See at CRAN