Spatio-Temporal Generalised Linear Mixed Models for Areal Unit Data


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Documentation for package ‘CARBayesST’ version 2.2

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CARBayesST-package Spatio-Temporal Generalised Linear Mixed Models For Areal Unit Data
CARBayesST Spatio-Temporal Generalised Linear Mixed Models For Areal Unit Data
print.carbayesST Print a summary of the fitted model to the screen.
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.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.