R is `gnu s' - a language and environment for statistical computing and graphics. r is similar to the award-winning s system, which was developed at bell laboratories by john chambers et al. it provides a wide variety of statistical and graphical techniques (linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, ...).

this is a collection of libraries for r that implement various nonlinear regression and repeated measurements models. the following libraries are included (all authored by jim lindsey, except as noted):

rmutil - utilities for nonlinear regression and repeated measurements
gnlm - generalized nonlinear regression models
stable - probability functions and generalized regression models for
stable distributions
growth - multivariate normal and elliptically-contoured repeated
measurements models
repeated - non-normal repeated measurements models
event - event history procedures and models
ordinal - repeated measures library for ordinal data
(by patrick lindsey)
more information about these libraries is available at http://popgen.unimaas.nl/~jlindsey/rcode.html