Spatial Areal Unit Modelling

Documentation for package ‘CARBayes’ version 4.1

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.