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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "ZINB.GP" in publications use:'
type: software
license: MIT
title: 'ZINB.GP: Bayesian Zero-Inflated Negative Binomial Gaussian Process Models'
version: 1.0.0
doi: 10.32614/CRAN.package.ZINB.GP
abstract: 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) <https://doi.org/10.1016/j.jspi.2023.106098>.
authors:
- family-names: Scott
  given-names: Mahlon
  email: mascottpy@gmail.com
- family-names: He
  given-names: Qing
- family-names: Huang
  given-names: Hsin-Hsiung
  email: hsin.huang@ucf.edu
  orcid: https://orcid.org/0000-0001-7150-7229
repository: https://kingjms1.r-universe.dev
repository-code: https://github.com/KingJMS1/GP_ZINB_R
commit: fb7ca2f85221c977c73fd57a6513b24e0369e131
url: https://kingjms1.github.io/GP_ZINB_R/
date-released: '2026-09-04'
contact:
- family-names: Huang
  given-names: Hsin-Hsiung
  email: hsin.huang@ucf.edu
  orcid: https://orcid.org/0000-0001-7150-7229