baseThe R base package
bootBootstrap R (S-Plus) Functions (Canty)
classFunctions for classification
clusterFunctions for clustering (by Rousseeuw et al.)
ctestClassical Tests
edaExploratory Data Analysis
foreignRead data stored by Minitab, SAS, SPSS, ...
KernSmoothFunctions for kernel smoothing for Wand & Jones (1995)
lqsResistant Regression and Covariance Estimation
MASSMain Library of Venables and Ripley's MASS
mgcvMultiple smoothing parameter estimation and GAMs by GCV
modregModern Regression: Smoothing and Local Methods
multivMultivariate Data Analysis Routines
mvaClassical Multivariate Analysis
nlmeLinear and nonlinear mixed effects models
nlsNonlinear regression
nnetFeed-forward neural networks and multinomial log-linear models
rpartRecursive partitioning
spatialfunctions for kriging and point pattern analysis
splinesRegression Spline Functions and Classes
stepfunStep Functions, including Empirical Distributions
survivalSurvival analysis, including penalised likelihood.
tcltkInterface to Tcl/Tk
tsTime series functions