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Fitting Baysian Regression Models Using JAGsIn Baysian statistics I use samples from the posterior distribution to answer inferential questions. The samples are generated by a Markov chain whose stationary distribution is the posterior. What this means is

Introduction to Monte Carlo simulation using JAGSThis practical gives an introduction to the Monte Carlo method using JAGS (Just Another Gibbs Sampler). First we have to install some R packages that act as frontenda for JAGS:R2jags allows fitting JAGS m

PreliminariesPreliminariesIn this practical we will do some model checking and model choice in R.We need the following packagesggplot2 - Package to implement the ggplot language for graphics in R.tidyverse - This package is designed to make it easy t