CARBayes-package        Spatial Generalised Linear Mixed Models for
                        Areal Unit Data
MVS.CARleroux           Fit a multivariate spatial generalised linear
                        mixed model to data, where the random effects
                        are modelled by a multivariate conditional
                        autoregressive model.
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.
S.CARmultilevel         Fit a spatial generalised linear mixed model to
                        multi-level areal unit data, where the spatial
                        random effects have a Leroux conditional
                        autoregressive prior and there are also
                        individual or small group level random effects.
S.glm                   Fit a generalised linear model to data.
coef.CARBayes           Extract the regression coefficients from a
                        model.
combine.data.shapefile
                        Combines a data frame with a shapefile to
                        create a SpatialPolygonsDataFrame object.
fitted.CARBayes         Extract the fitted values from a model.
highlight.borders       Creates a SpatialPoints object identifying a
                        subset of borders between neighbouring areas.
logLik.CARBayes         Extract the estimated loglikelihood from a
                        fitted model.
model.matrix.CARBayes   Extract the model (design) matrix from a model.
print.CARBayes          Print a summary of a fitted CARBayes model to
                        the screen.
residuals.CARBayes      Extract the residuals from a model.
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.
