print.carbayesST

This function takes a carbayesST object and returns a summary of the fitted model.

Implements a series of Poisson log-linear models with spatio-temporal random effects. The spatial and temporal autocorrelation in the random effects are induced using the class of Conditional AutoRegressive (CAR) priors, which are a special case of Gaussian Markov Random Fields (GMRF). All models are fitted in a Bayesian context using Markov chain Monte Carlo (McMC) simulation.

print.carbayesST: Print a summary of the fitted model to the screen.

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