Poisson Log-linear Models with Spatio-temporal Random Effects

Documentation for package ‘CARBayesST’ version 1.1

CARBayesST-package	Poisson Log-linear Models with Spatio-temporal Random Effects
CARBayesST	Poisson Log-linear Models with Spatio-temporal Random Effects
print.carbayesST	Print a summary of the fitted model to the screen.
results.summarise	Summarise a matrix of Markov chain Monte Carlo samples.
ST.ARCAR	Fit the space-time Poisson log-linear model proposed by Rushworth et al. (2014b) with an autoregressive spatio-temporal correlation stucture.
ST.ARCARadaptive	Fit the space-time Poisson log-linear model proposed by Rushworth et al. (2014a) with an adaptive autoregressive spatio-temporal correlation stucture.
ST.ARCARcluster	Fit the space-time Poisson log-linear model proposed by Lee and Lawson (2014) with a clustering componennt and an autoregressive spatio-temporal correlation stucture.
ST.cluster	Fit the space-time Poisson log-linear clustering model proposed by Lee and Lawson (2014).
ST.KHinteraction	Fit the space-time Poisson log-linear model proposed by Knorr-Held (2000) with separable spatio-temporal main effects and an independent space-time interaction.
ST.KHmain	Fit the space-time Poisson log-linear model proposed by Knorr-Held and Besag (1998) with separable spatio-temporal main effects.