CARBayesST-package      Spatio-Temporal Generalised Linear Mixed Models
                        For Areal Unit Data
MVST.CARar              Fit a multivariate spatio-temporal generalised
                        linear mixed model to data, with a multivariate
                        spatio-temporal autoregressive process.
ST.CARadaptive          Fit a spatio-temporal generalised linear mixed
                        model to data, with a spatio-temporal
                        autoregressive process that has an adaptive
                        autocorrelation stucture.
ST.CARanova             Fit a spatio-temporal generalised linear mixed
                        model to data, with spatial and temporal main
                        effects and a spatio-temporal interaction.
ST.CARar                Fit a spatio-temporal generalised linear mixed
                        model to data, with a spatio-temporal
                        autoregressive process.
ST.CARclustrends        Fit a spatio-temporal generalised linear mixed
                        model to data, with a clustering of temporal
                        trend functions and a temporally common spatial
                        surface.
ST.CARlinear            Fit a spatio-temporal generalised linear mixed
                        model to data, where the spatial units have
                        linear time trends with spatially varying
                        intercepts and slopes.
ST.CARlocalised         Fit a spatio-temporal generalised linear mixed
                        model to data, with a spatio-temporal
                        autoregressive process and a piecewise constant
                        intercept term.
ST.CARsepspatial        Fit a spatio-temporal generalised linear mixed
                        model to data, with a common temporal main
                        effect and separate spatial surfaces with
                        individual variances.
W.estimate              Estimate an appropriate neighbourhood matrix
                        for a set of spatial data using a baseline
                        neighbourhood matrix and a graph based
                        optimisation algorithm.
coef.CARBayesST         Extract the regression coefficients from a
                        model.
fitted.CARBayesST       Extract the fitted values from a model.
logLik.CARBayesST       Extract the estimated loglikelihood from a
                        fitted model.
model.matrix.CARBayesST
                        Extract the model (design) matrix from a model.
print.CARBayesST        Print a summary of the fitted model to the
                        screen.
residuals.CARBayesST    Extract the residuals from a model.
