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What documentation exists for R?

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Chapter 5: R Add-On Packages 50<br />

msgcop Semiparametric Bayesian Gaussian copula estimation.<br />

msm Functions <strong>for</strong> fitting continuous-time Markov multi-state models to categorical<br />

processes observed at arbitrary times, optionally with misclassified responses,<br />

and covariates on transition or misclassification rates.<br />

muhaz Hazard function estimation in survival analysis.<br />

multcomp Multiple comparison procedures <strong>for</strong> the one-way layout.<br />

multcompView<br />

Visualizations of paired comparisons.<br />

multic Quantitative linkage analysis tools using the variance components approach.<br />

multilevel Analysis of multilevel data by organizational and social psychologists.<br />

multinomRob<br />

Overdispersed multinomial regression using robust (LQD and tanh) estimation.<br />

multtest Resampling-based multiple hypothesis testing.<br />

mvbutils Utilities by Mark V. Bravington <strong>for</strong> project organization, editing and backup,<br />

sourcing, <strong>documentation</strong> (<strong>for</strong>mal and in<strong>for</strong>mal), package preparation, macro<br />

functions, and more.<br />

mvnmle ML estimation <strong>for</strong> multivariate normal data with missing values.<br />

mvnormtest<br />

Generalization of the Shapiro-Wilk test <strong>for</strong> multivariate variables.<br />

mvtnormpcs<br />

Multivariate Normal and T Distribution functions of Dunnett (1989).<br />

mvoutlier Multivariate outlier detection based on robust estimates of location and covariance<br />

structure.<br />

mvpart Multivariate partitioning.<br />

mvtnorm Multivariate normal and t distributions.<br />

nFDR Nonparametric Estimate of FDR Based on Bernstein polynomials.<br />

nFactors Non-graphical solution to the Cattell Scree Test.<br />

ncdf Interface to Unidata netCDF data files.<br />

ncomplete Functions to per<strong>for</strong>m the regression depth method (RDM) to binary regression<br />

to approximate the minimum number of observations that can be removed such<br />

that the reduced data set has complete separation.<br />

ncvar High-level R interface to netCDF datasets.<br />

negenes Estimating the number of essential genes in a genome on the basis of data<br />

from a random transposon mutagenesis experiment, through the use of a Gibbs<br />

sampler.<br />

network Tools to create and modify network objects, which can represent a range of<br />

relational data types.

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