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Java software
R packages
Byte Code Compiler for R
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.
CARrampsOcl
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.
estimability
Provides tools for determining estimability of linear functions of regression coefficients, and 'epredict' methods that handle non-estimable cases correctly.
emmeans
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.
ramps
Bayesian geostatistical modeling of Gaussian processes using a reparameterized and marginalized posterior sampling (RAMPS) algorithm designed to lower autocorrelation in MCMC samples.
rsm
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.
snow
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
Software packages
Web (JavaScript) Applets
Distributions
Normal, t, chi-square, F, gamma, beta, exponential, binomial, geometric (I), geometric (II), Poisson, negative binomial (I), negative binomial (II), hypergeometric, binomial w/ normal approximation