Software infrastructure for statistical computing:

• The R Project for Statistical Computing.
• The R-Forge development platform.
• The Comprehensive R Archive Network (CRAN).

I am involved in the following software projects:

• gamlss-dev: Development Team for the gamlss Family of R Packages.
• R package bamlss: Bayesian Additive Models for Location Scale and Shape (and Beyond). Detailed descriptions and examples are available at http://bamlss.org/.
• R package MJMbamlss: Multivariate Joint Models with bamlss.
• R package softtrees: Distributional Adaptive Soft Regression Trees.
• C++ library BayesX: Bayesian Inference in Structured Additive Regression Models.
• R package BayesXsrc: Provides the BayesX command line tool for easy installation.
• R package R2BayesX: An R interface to estimate structured additive regression (STAR) models with BayesX.
• R package exams: Sweave-based automatic generation of exams including multiple-choice questions and arithmetic problems. Exams can be produced in various formats, including PDF, HTML, Moodle XML, QTI 1.2 (for OLAT/OpenOLAT), QTI 2.1. Detailed descriptions and examples are available at http://R-exams.org/.