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ZINB.GP

1.0.0Package record

Bayesian Zero-Inflated Negative Binomial Gaussian Process Models

0packages depend
547downloads / year
94.5%test coverage
13/13flavors OK

Overview

About

Fits Bayesian zero-inflated negative binomial regression models with Gaussian process random effects for spatial, temporal, or spatiotemporal count data. Provides Markov chain Monte Carlo sampling, configurable random effects in the zero-inflation and count components, and posterior predictive draws. Implements a full GP version of the methods described by He and Huang (2024) doi:10.1016/j.jspi.2023.106098.

Changes in 1.0.0

Initial release

  • Fits Bayesian zero-inflated negative binomial models with spatial, temporal, or spatiotemporal Gaussian process random effects.
  • Supports Gaussian process effects in the zero-inflation component, count component, or both.
  • Provides posterior draws for fixed effects, random effects, covariance parameters, dispersion, latent at-risk states, and predictive counts.
  • Includes simulation and Oregon landslide case-study vignettes.
  • Includes input validation and tests for every supported model configuration.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.5 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OKNow
  • OK5 OK2026-09-15
Advisories

none known

Documentation

In release 1.0.0
READMEYes · 960 wordsVignettesYes · 2 · dynamicNEWSYes · 67% structured · mentions 1.0.0Citation fileNoWebsiteYes · pkgdown
Help pages
25 (7 internal)
Examples that run
100%6 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

547
CRAN downloads in the past year
Rank #23,052 · ~1/day · ~46/mo
Daily download trend is not available in this view yet.
50130 days
54790 days
5471 year
Compare downloads with other packages →
Also on8 r2u1 autocran

Repository

2Stars
0Forks
0Open issues
0Open PRs
0Releases
75Commits
1Commit identities
75 commits · Last activity 2026-09-04 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2026-09-15 · 02026-09-16 · 2
PracticesBeta

7 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/kingjms1/gp_zinb_r on 2026-10-11.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (3)
pkgdown

GitHub Pages site last deployed 2026-09-04 · The repository has a site deploy workflow

pkgdown site last built 2026-09-04, before release 1.0.0 (2026-09-14)

CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
lintr
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing ZINB.GP adds 16 packages (11 with compiled code, 8.2 MB of source tarballs). Heaviest: LaplacesDemon 2.0 MB, mvtnorm 1.0 MB, vctrs 1.0 MB.

Depends (0)
none
Imports (7)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 1.0.0 (2026), Copyright holder
Author
Releases (1)
  • 1.0.0Latest
    first seen 2026-09-14 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First seen
2026-09-14
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Download size
1.6 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ZINB.GP")
Huang, H., He, Q., & Scott, M. (2026). ZINB.GP: Bayesian Zero-Inflated Negative Binomial Gaussian Process Models (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.ZINB.GP

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 ZINB.GP version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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