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HZIP: Likelihood-Based Inference for Joint Modeling of Correlated Count and Binary Outcomes with Extra Variability and Zeros

Inference approach for jointly modeling correlated count and binary outcomes. This formulation allows simultaneous modeling of zero inflation via the Bernoulli component while providing a more accurate assessment of the Hierarchical Zero-Inflated Poisson's parsimony (Lizandra C. Fabio, Jalmar M. F. Carrasco, Victor H. Lachos and Ming-Hui Chen, Likelihood-based inference for joint modeling of correlated count and binary outcomes with extra variability and zeros, 2025, under submission).

Version: 0.1.1
Depends: R (≥ 3.5)
Imports: Rcpp, Formula, pscl, stats, tibble, dplyr, statmod, RcppParallel, cubature, VGAM, ggplot2
LinkingTo: Rcpp, RcppParallel, RcppArmadillo
Published: 2025-12-19
DOI: 10.32614/CRAN.package.HZIP (may not be active yet)
Author: Lizandra C. Fabio [aut], Jalmar M. F. Carrasco [aut, cre], Victor H. Lachos [aut], Ming-Hui Chen [aut]
Maintainer: Jalmar M. F. Carrasco <carrasco.jalmar at ufba.br>
BugReports: https://github.com/carrascojalmar/HZIP/issues
License: GPL-3
URL: https://github.com/carrascojalmar/HZIP
NeedsCompilation: yes
CRAN checks: HZIP results

Documentation:

Reference manual: HZIP.html , HZIP.pdf

Downloads:

Package source: HZIP_0.1.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): HZIP_0.1.1.tgz, r-oldrel (x86_64): HZIP_0.1.1.tgz

Linking:

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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.