Skip to contents

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.