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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.