BayesX - Software for Bayesian Inference based on Markov Chain Monte Carlo simulation techniques

BayesX is a Software tool for Bayesian inference based on Markov
Chain Monte Carlo (MCMC) inference techniques. The main feature of
BayesX so far, is a very powerful regression tool for Bayesian
semiparametric regression within the Generalized linear models
framework. BayesX is able to estimate nonlinear effects of metrical
covariates, trends and flexible seasonal patterns of time scales,
structured and/or unstructured random effects of spatial covariates
(geographical data) and unstructured random effects of unordered
group indicators. Moreover, BayesX is able to estimate varying
coefficients models with metrical and even spatial covariates as
effectmodifiers. The distribution of the response can be either
Gaussian, binomial or Poisson. In addition, BayesX has some useful
functions for handling and manipulating datasets and geographical
maps.