# Welcome to BayesR: Bayesian Structured Regression project!

Developement of R Functions to Estimate Bayesian Hierarchical Structured Additive Regression Models.

### Bayesian Additive Models for Location Scale and Shape (and Beyond)

The R package bamlss is a general tool for complex Bayesian regression modeling
with structured additive predictors based on Markov chain Monte Carlo simulation.
The design of this package substantially focuses on maximum flexibility and easy
integration of new code and/or standalone systems (e.g., JAGS and BayesX).
Supplemtary files:

### The R interface to BayesX

The R package R2BayesX provides an interface to BayesX, a software tool for estimating structured
additive regression models (STAR). With R2BayesX, STAR models can be conveniently specified using
Rs formula language (with some extended terms), fitted using the BayesX binary, represented in R
with objects of suitable classes, and finally printed/summarized/plotted.
Supplemtary files for the interface package R2BayesX:

### The R Package Distribution of the BayesX C++ Sources

The R package BayesXsrc provides the BayesX command line tool for easy installation.
A convenient R interface is provided in package R2BayesX.
The **project summary page** you can find **here**.

Supplementary material for
the article "Spatio-Temporal Precipitation Climatology over Complex
Terrain Using a Censored Additive Regression Model"