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ZINB.GP  

Bayesian Zero-Inflated Negative Binomial Gaussian Process Models
View on CRAN: Click here


Download and install ZINB.GP package within the R console
Install from CRAN:
install.packages("ZINB.GP")

Install from Github:
library("remotes")
install_github("cran/ZINB.GP")

Install by package version:
library("remotes")
install_version("ZINB.GP", "1.0.0")



Attach the package and use:
library("ZINB.GP")
Maintained by
Hsin-Hsiung Huang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-14
Latest Update: 2026-09-14
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>.
How to cite:
Hsin-Hsiung Huang (2026). ZINB.GP: Bayesian Zero-Inflated Negative Binomial Gaussian Process Models. R package version 1.0.0, https://cran.r-project.org/web/packages/ZINB.GP. Accessed 23 Sep. 2026.
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