This package fits generalized linear models in situations where spatial data are used as predictors of scalar outcomes. Spike-and-Slab LASSO priors are used for model selection and intrinsic conditional autoregressive regressions are used to account for spatial information in the prior probabilities for inclusion in the model.
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