# Spatio-Temporal Generalised Linear Mixed Models for Areal Unit Data

## Documentation for package ‘CARBayesST’ version 3.1

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

## Help Pages

CARBayesST-package | Spatio-Temporal Generalised Linear Mixed Models For Areal Unit Data
CARBayesST | Spatio-Temporal Generalised Linear Mixed Models For Areal Unit Data
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.
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.