# Spatial Generalised Linear Mixed Models for Areal Unit Data

## Documentation for package ‘CARBayes’ version 4.6

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

CARBayes-package | Spatial Generalised Linear Mixed Models for Areal Unit Data
CARBayes | Spatial Generalised Linear Mixed Models for Areal Unit Data
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.
MVS.CARleroux | Fit a multivariate spatial generalised linear mixed model to data, where the random effects are modelled by a multivariate conditional autoregressive model.
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.CARdissimilarity | Fit a spatial generalised linear mixed model to data, where the random effects have a localised 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.CARlocalised | Fit a spatial generalised linear mixed model to data, where a set of spatially smooth random effects are augmented with a piecewise constant intercept process.
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.