What documentation exists for R?
What documentation exists for R?
What documentation exists for R?
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
Chapter 5: R Add-On Packages 48<br />
mAr Estimation of multivariate AR models through a computationally efficient stepwise<br />
least-squares algorithm.<br />
mFilter Miscellenous time series filters.<br />
maanova Analysis of N-dye Micro Array experiments using mixed model effect. Contains<br />
anlysis of variance, permutation and bootstrap, cluster and consensus tree.<br />
magic A variety of methods <strong>for</strong> creating magic squares of any order greater than 2,<br />
and various magic hypercubes.<br />
mapLD Linkage Disequilibrium mapping.<br />
mapdata Supplement to package maps, providing the larger and/or higher-resolution<br />
databases.<br />
mapproj Map Projections: converts latitude/longitude into projected coordinates.<br />
maps Draw geographical maps. Projection code and larger maps are in separate<br />
packages.<br />
maptools Set of tools <strong>for</strong> manipulating and reading geographic data, in particular ESRI<br />
shapefiles.<br />
maptree Functions with example data <strong>for</strong> graphing and mapping models from hierarchical<br />
clustering and classification and regression trees.<br />
mathgraph<br />
Tools <strong>for</strong> constructing and manipulating objects from a class of directed and<br />
undirected graphs.<br />
matlab Emulate MATLAB code using R.<br />
maxstat Maximally selected rank and Gauss statistics with several p-value approximations.<br />
mblm Median-based Linear models, using Theil-Sen single or Siegel repeated medians.<br />
mboost Gradient boosting <strong>for</strong> fitting generalized linear, additive and interaction models.<br />
mcgibbsit Warnes and Raftery’s MCGibbsit MCMC diagnostic.<br />
mclust Model-based clustering and normal mixture modeling including Bayesian regularization.<br />
mclust02 Model-based cluster analysis: the 2002 version of MCLUST.<br />
mcmc Functions <strong>for</strong> Markov Chain Monte Carlo (MCMC).<br />
mda Code <strong>for</strong> mixture discriminant analysis (MDA), flexible discriminant analysis<br />
(FDA), penalized discriminant analysis (PDA), multivariate additive regression<br />
splines (MARS), adaptive back-fitting splines (BRUTO), and penalized regression.<br />
merror Accuracy and precision of measurements.<br />
meta Fixed and random effects meta-analysis, with functions <strong>for</strong> tests of bias, <strong>for</strong>est<br />
and funnel plot.
Change language