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What documentation exists for R?

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Chapter 5: R Add-On Packages 35<br />

bootstrap Software (bootstrap, cross-validation, jackknife), data and errata <strong>for</strong> the book<br />

“An Introduction to the Bootstrap” by B. Efron and R. Tibshirani, 1993, Chapman<br />

and Hall.<br />

bqtl QTL mapping toolkit <strong>for</strong> inbred crosses and recombinant inbred lines. Includes<br />

maximum likelihood and Bayesian tools.<br />

brainwaver<br />

Basic wavelet analysis of multivariate time series with a vizualisation and<br />

parametrization using graph theory.<br />

brlr Bias-reduced logistic regression: fits logistic regression models by maximum<br />

penalized likelihood.<br />

butler Unit testing, profiling and benchmarking <strong>for</strong> R.<br />

caMassClass<br />

Processing and Classification of protein mass spectra (SELDI) data.<br />

caTools Miscellaneous utility functions, including reading/writing ENVI binary files, a<br />

LogitBoost classifier, and a base64 encoder/decoder.<br />

cacheSweave<br />

Tools <strong>for</strong> caching Sweave computations.<br />

cairoDevice<br />

Loadable CAIRO/GTK device driver.<br />

calibrate Calibration of biplot axes.<br />

car Companion to Applied Regression, containing functions <strong>for</strong> applied regession,<br />

linear models, and generalized linear models, with an emphasis on regression<br />

diagnostics, particularly graphical diagnostic methods.<br />

cat Analysis of categorical-variable datasets with missing values.<br />

catspec Special models <strong>for</strong> categorical variables.<br />

cba Clustering <strong>for</strong> Business Analytics, including implementations of Proximus and<br />

Rock.<br />

cclust Convex clustering methods, including k-means algorithm, on-line update algorithm<br />

(Hard Competitive Learning) and Neural Gas algorithm (Soft Competitive<br />

Learning) and calculation of several indexes <strong>for</strong> finding the number of<br />

clusters in a data set.<br />

cfa Analysis of configuration frequencies.<br />

cgh Analysis of microarray comparative genome hybridisation data using the Smith-<br />

Waterman algorithm.<br />

chplot Augmented convex hull plots: in<strong>for</strong>mative and nice plots <strong>for</strong> grouped bivariate<br />

data.<br />

changeLOS<br />

Change in length of hospital stay (LOS).<br />

chemCal Calibration functions <strong>for</strong> analytical chemistry.

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