What documentation exists for R?
What documentation exists for R?
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.