This package fits generalized linear models in situations where spatial data are used as predictors of scalar outcomes. SpikeandSlab 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.
Package details 


Maintainer  
License  GPL3 
Version  0.2.0 
Package repository  View on GitHub 
Installation 
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