ZINB.GP 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.