Note the two functions for fitting spatailly-varying coefficient models are only available for Gaussian and zero-inflated Gaussian models. All GLM(M)s also allow for Gaussian and zero-inflated Gaussian models. Simulate multi-species repeated count dataĪll model fitting functions allow for Poisson and negative binomial distributions for the abundance portion of the model. Simulate single-species repeated count data Simulate multi-species distance sampling data Simulate single-species distance sampling data Posterior predictive check using Bayesian p-valuesĬalculate Widely Applicable Information Criterion (WAIC) Multivariate spatially-varying coefficient GLMM with species correlations Multivariate spatial GLMM with species correlations Multivariate GLMM with species correlations Univariate spatially-varying coefficient GLMM Multi-species spatial N-mixture model with species correlations Multi-species N-mixture model with species correlations Multi-species spatial HDS model with species correlations Multi-species HDS model with species correlations Single-species hierarchical distance sampling (HDS) model
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