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HZIP

0.1.2

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

0packages depend
1.6Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Jalmar M. F. CarrascoFirst published 2025-12-192 releasesCRAN page ↗GitHub ↗

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).

Install

Health

CRAN checks
13OK
Slowest check: 3.2 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
11
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
13%
Documented parameters
100%
Return-value docs
60%
References docs
18%

Downloads

1.6K
CRAN downloads in the past year
Rank #13,491 · ~4/day · ~132/mo
Daily download trend is not available in this view yet.
13730 days
75190 days
1.6K1 year
Compare downloads with other packages →
Also on264 r2u12 autocran

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
0Releases
License GPL-3.0 · Last activity 2025-10-22

Repository practices

Upstream repositoryBeta

Checks run against github.com/carrascojalmar/hzip on 2026-08-16.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (4)
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 0.1.2Latest
    2026-06-03 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.1
    2026-03-10
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-12-19
Total releases
2 / 1 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5
Bundled data
1.0 KB / 1 file
Download size
34 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("HZIP")
Carrasco, J. M. F., Chen, M., Fabio, L. C., & Lachos, V. H. (2026). HZIP: Likelihood-Based Inference for Joint Modeling of Correlated Count and Binary Outcomes with Extra Variability and Zeros (Version 0.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.HZIP

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for HZIP version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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