What documentation exists for R?

Chapter 5: R Add-On Packages 27
Kendall Kendall rank correlation and Mann-Kendall trend test.
KernSmooth
Functions for kernel smoothing (and density estimation) corresponding to the
book “Kernel Smoothing” by M. P. Wand and M. C. Jones, 1995. Recommended.
LDheatmap
Heat maps of linkage disequilibrium measures.
LMGene Date transformation and identification of differentially expressed genes in gene
expression arrays.
Lmoments Estimation of L-moments and the parameters of normal and Cauchy polynomial
quantile mixtures.
LogicReg Routines for Logic Regression.
LoopAnalyst
A collection of tools to conduct Levins’ Loop Analysis.
LowRankQP
Low Rank Quadratic Programming: QP problems where the hessian is represented
as the product of two matrices.
MASS Functions and datasets from the main package of Venables and Ripley, “Modern
Applied Statistics with S”. Contained in the ‘VR’ bundle. Recommended.
MBA Multilevel B-spline Approximation.
MBESS Methods for the Behavioral, Educational, and Social Sciences.
MCMCpack
Markov chain Monte Carlo (MCMC) package: functions for posterior simulation
for a number of statistical models.
MChtest Monte Carlo hypothesis tests.
MEMSS Data sets and sample analyses from “Mixed-effects Models in S and S-PLUS”
by J. Pinheiro and D. Bates, 2000, Springer.
MFDA Model Based Functional Data Analysis.
MKLE Maximum kernel likelihood estimation.
MNP Fitting Bayesian Multinomial Probit models via Markov chain Monte Carlo.
Along with the standard Multinomial Probit model, it can also fit models with
different choice sets for each observation and complete or partial ordering of all
the available alternatives.
MPV Data sets from the book “Introduction to Linear Regression Analysis” by D.
C. Montgomery, E. A. Peck, and C. G. Vining, 2001, John Wiley and Sons.
MSBVAR Bayesian vector autoregression models, impulse responses and forecasting.
MarkedPointProcess
Non-parametric analysis of the marks of marked point processes.