Functions for kriging and point pattern analysis.
Software for feed-forward neural networks with a single hidden layer, and for multinomial log-linear models.
Various functions for classification.
Functions and datasets to support Venables and Ripley, 'Modern Applied Statistics with S' (4th edition, 2002).
survival analysis: descriptive statistics, two-sample tests, parametric accelerated failure models, Cox model. Delayed entry (truncation) allowed for all models; interval censoring for parametric models. Case-cohort designs.
Recursive partitioning and regression trees
Fit and compare Gaussian linear and nonlinear mixed-effects models.
Routines for GAMs and other generalized ridge regression with multiple smoothing parameter selection by GCV, REML or UBRE/AIC. Also GAMMs. Includes a gam() function.
Lattice is a powerful and elegant high-level data visualization system, with an emphasis on multivariate data, that is sufficient for typical graphics needs, and is also flexible enough to handle most nonstandard requirements. See ?Lattice for an introduction.
Functions for reading and writing data stored by statistical packages such as Minitab, S, SAS, SPSS, Stata, Systat, ..., and for reading and writing dBase files.