Package: ZINB.GP
Title: Bayesian Zero-Inflated Negative Binomial Gaussian Process Models
Version: 1.0.0
Authors@R: c(
    person("Mahlon", "Scott", email = "mascottpy@gmail.com", role = c("aut")),
    person("Qing", "He", role = c("aut")),
    person("Hsin-Hsiung", "Huang", email = "hsin.huang@ucf.edu",
            role = c("aut", "cre", "cph"),
            comment = c(ORCID = "0000-0001-7150-7229")))
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
URL: https://github.com/KingJMS1/GP_ZINB_R,
        https://kingjms1.github.io/GP_ZINB_R/
BugReports: https://github.com/KingJMS1/GP_ZINB_R/issues
Imports: BayesLogit, LaplacesDemon, MASS, Matrix, msm, mvtnorm, stats
Suggests: coda, knitr, posterior, rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
Repository: https://kingjms1.r-universe.dev
Date/Publication: 2026-09-04 15:44:36 UTC
RemoteUrl: https://github.com/kingjms1/gp_zinb_r
RemoteRef: HEAD
RemoteSha: fb7ca2f85221c977c73fd57a6513b24e0369e131
NeedsCompilation: no
Packaged: 2026-10-15 09:36:44 UTC; root
Author: Mahlon Scott [aut],
  Qing He [aut],
  Hsin-Hsiung Huang [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0001-7150-7229>)
Maintainer: Hsin-Hsiung Huang <hsin.huang@ucf.edu>