To make the user familiar with the usage and the capabilities of BayesX we present some example analyses which may serve as first introductions. Each tutorial is designed to be self contained, that is, each tutorial gives a short introduction to all features of BayesX you will need throughout the tutorial.
Data sets and geographical information that are needed to execute the commands presented in the tutorials as well as batch files containing these commands may be downloaded from the sections below. All tutorials are collected in the Tutorials Manual.
Bayesian semiparametric regression using MCMC techniques:
Bayesian semiparametric regression using GLMM methodology:
Bayesian semiparametric regression using methods for simultaneously selecting variables and smoothing parameters: