Java software


Russ Lenth

A Java applet for power and sample size calculations


Russ Lenth

Embed statistical code (e.g., SAS, R, Stata, etc.) into a LaTeX or OpenOffice document

R packages

Byte Code Compiler for R

Luke Tierney

Implementation of a byte code compiler for R. The compiler produces code for a virtual machine that is then executed by a virtual machine runtime system.


Kate Cowles

This package fits Bayesian conditional autoregressive models for spatial and spatiotemporal data on a lattice. It uses OpenCL kernels running on GPUs to perform rejection sampling to obtain independent samples from the joint posterior distribution of model parameters.


Kate Cowles

Output analysis and diagnostics for Markov chain Monte Carlo simulations


Russ Lenth

Provides tools for determining estimability of linear functions of regression coefficients, and 'epredict' methods that handle non-estimable cases correctly.


Russ Lenth

Compute estimated marginal means (EMMs) for factor combinations in for a variety of models, as well as contrasts or linear combinations of EMMs, Bayesian analyses, and back-transformations of results.


Kate Cowles and Brian J. Smith

Bayesian geostatistical modeling of Gaussian processes using a reparameterized and marginalized posterior sampling (RAMPS) algorithm designed to lower autocorrelation in MCMC samples.


Russ Lenth

Provides functions to generate response-surface designs, fit first- and second-order response-surface models, make surface plots, obtain the path of steepest ascent, and do canonical analysis.


Luke Tierney

The snow (Simple Network of Workstations) package implements a simple mechanism for using a collection of workstations or a Beowulf cluster for "embarrassingly parallel" computations in R.

Parallell computing


Luke Tierney

This package uses OpenMP to implement parallelized versions of most of the non-RNG routines in the R math library.


Matt Bognar

Parallel statistical random number generator for C++ and OpenMP

Software packages


Luke Tierney

R is a language and environment for statistical computing and graphics.


Luke Tierney

A statistical package for dynamic graphics and object-oriented programming

Mobile applications

Probability distributions

(Android, Apple iOS)–A free probability distribution application that handles the binomial, Poisson, negative binomial, hypergeometric, normal, t, chi-square, F, exponential, gamma, and beta distributions.