Package: HZIP
Type: Package
Title: Likelihood-Based Inference for Joint Modeling of Correlated
        Count and Binary Outcomes with Extra Variability and Zeros
Version: 0.1.3
Authors@R: c(person("Lizandra C.", "Fabio", email = "lizandra.fabio@ufba.br", role = "aut"),
  person("Jalmar M. F.", "Carrasco", email = "carrasco.jalmar@ufba.br", role = c("aut", "cre")),
  person("Victor H.", "Lachos", email = "hlachos@uconn.edu", role = "aut"),
  person("Ming-Hui", "Chen", email = "ming-hui.chen@uconn.edu", role = "aut"))
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@ufba.br>
Description: 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,
        2026, under submission).
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppParallel, RcppArmadillo
Imports: Rcpp, Formula, pscl, stats, tibble, dplyr, statmod,
        RcppParallel, ggplot2, numDeriv, rlang
Depends: R (>= 3.5)
URL: https://github.com/carrascojalmar/HZIP
BugReports: https://github.com/carrascojalmar/HZIP/issues
Config/roxygen2/version: 8.1.0
NeedsCompilation: yes
Packaged: 2026-10-01 21:04:58 UTC; root
Config/pak/sysreqs: cmake
Repository: https://carrascojalmar.r-universe.dev
Date/Publication: 2026-10-01 18:11:05 UTC
RemoteUrl: https://github.com/carrascojalmar/hzip
RemoteRef: HEAD
RemoteSha: c7e3b6725858aa7db95bbce2e5273d33866fea7e