Changes in version 1.0.0 (2026-09-14)                  

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.