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 |
| 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 |
| Reference manual: | HZIP.html , HZIP.pdf |
| Package source: | HZIP_0.1.1.tar.gz |
| Windows binaries: | r-devel: HZIP_0.1.1.zip, r-release: HZIP_0.1.1.zip, r-oldrel: HZIP_0.1.1.zip |
| macOS binaries: | r-release (arm64): HZIP_0.1.1.tgz, r-oldrel (arm64): HZIP_0.1.1.tgz, r-release (x86_64): HZIP_0.1.1.tgz, r-oldrel (x86_64): HZIP_0.1.1.tgz |
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