Parallel

Functions for latent class analysis, short time Fourier transform, fuzzy clustering, support vector machines, shortest path computation, bagged clustering, naive Bayes classifier, ...

Reading, writing, manipulating, analyzing and modeling of gridded spatial data. The package implements basic and high-level functions.

Software for feed-forward neural networks with a single hidden layer, and for multinomial log-linear models.

Data analysis, linear models and differential expression for microarray data.

Recursive partitioning for classification, regression and survival trees. An implementation of most of the functionality of the 1984 book by Breiman, Friedman, Olshen and Stone.

Curl

R and 'Eigen' integration using 'Rcpp'. 'Eigen' is a C++ template library for linear algebra: matrices, vectors, numerical solvers and related algorithms.

Combine multidimensional arrays into a single array. This is a generalization of 'cbind' and 'rbind'.

Boost provides free peer-reviewed portable C++ source libraries. A large part of Boost is provided as C++ template code which is resolved entirely at compile-time without linking.

An extension to stopifnot() that makes it easy to declare the pre and post conditions that you code should satisfy, while also producing friendly error messages so that your users know what's gone wrong.