Spatial Areal Unit Modelling


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Documentation for package ‘CARBayes’ version 4.1

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CARBayes-package Spatial Areal Unit Modelling
CARBayes Spatial Areal Unit Modelling
combine.data.shapefile Combines a data frame with a shapefile to create a SpatialPolygonsDataFrame object.
highlight.borders Creates a SpatialPoints object identifying a subset of borders between neighbouring areas.
print.carbayes Print a summary of a fitted carbayes model to the screen.
S.CARbym Fit a spatial generalised linear mixed model to data, where the random effects have a BYM conditional autoregressive prior.
S.CARcluster Fit a spatial generalised linear mixed model to data, where the random effects have a localised clustered conditional autoregressive prior.
S.CARdissimilarity Fit a spatial generalised linear mixed model to data, where the random effects have a localised conditional autoregressive prior.
S.CARiar Fit a spatial generalised linear mixed model to data, where the random effects have an intrinsic conditional autoregressive prior.
S.CARleroux Fit a spatial generalised linear mixed model to data, where the random effects have a Leroux conditional autoregressive prior.
S.independent Fit a spatial generalised linear mixed model to data, where the random effects are independent.
summarise.lincomb Compute the posterior distribution for a linear combination of the covariates from the linear predictor.
summarise.samples Summarise a matrix of Markov chain Monte Carlo samples.