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 (may not be active yet) |
| 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:
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