superpc: Supervised principal components
Version 1.09

Supervised principal components for regression and survival analsysis. Especially useful for high-dimnesional data, including microarray data.

Browse man pages Browse package API and functions Browse package files

AuthorEric Bair, R. Tibshirani
Date of publication2012-02-27 07:36:05
MaintainerRob Tibshirani <tibs@stanford.edu>
LicenseGPL-2
Version1.09
URL http://www-stat.stanford.edu/~tibs/superpc
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("superpc")

Man pages

superpc.cv: Cross-validation for supervised principal components
superpc.decorrelate: Decorrelate features with respect to competing predictors
superpc.fit.to.outcome: Fit predictive model using outcome of supervised principal...
superpc.internal: Internal superpc functions
superpc.listfeatures: Return a list of the important predictors
superpc.lrtest.curv: Compute values of likelihood ratio test from supervised...
superpc.plotcv: Plot output from superpc.cv
superpc.plot.lrtest: Plot likelhiood ratio test statistics
superpc.plotred.lrtest: Plot likelihood ratio test statistics from supervised...
superpc.predict: Form principal components predictor from a trained superpc...
superpc.predictionplot: Plot outcome predictions from superpc
superpc.predict.red: Feature selection for supervised principal components
superpc.predict.red.cv: Cross-validation of feature selection for supervised...
superpc.rainbowplot: Make rainbow plot of superpc and compeiting predictors
superpc.train: Prediction by supervised principal components

Functions

balanced.folds Source code
cor.func Man page Source code
coxfunc Man page Source code
coxscor Man page Source code
coxstuff Man page Source code
coxvar Man page Source code
error.bars Source code Source code
find.surv.ndx Source code
gen.y.mat2 Source code
get.mle.class Source code
get.surv.q Source code
makelist Source code
my.barplot Source code
mysvd Man page Source code
ocoxvar Source code
permute.rows Source code
superpc.cv Man page Source code
superpc.decorrelate Man page
superpc.fit.to.outcome Man page Source code
superpc.listfeatures Man page Source code
superpc.lrtest.curv Man page Source code
superpc.plot.lrtest Man page Source code
superpc.plotcv Man page Source code
superpc.plotred.lrtest Man page Source code
superpc.predict Man page Source code
superpc.predict.red Man page Source code
superpc.predict.red.cv Man page Source code Source code
superpc.predictionplot Man page Source code
superpc.rainbowplot Man page Source code
superpc.train Man page Source code
superpc.xl.decorrelate Man page Source code
superpc.xl.decorrelate.test Man page Source code
superpc.xl.fit.to.clin Man page Source code
superpc.xl.get.threshold.range Man page Source code
superpc.xl.listgenes.compute Man page Source code
superpc.xl.rainbowplot Man page Source code
surv.to.class2 Source code

Files

MD5
NAMESPACE
R
R/superpc.plotcv.R
R/superpc.predictionplot.R
R/permute.rows.R
R/superpc.cv.R
R/superpc.plotred.lrtest.R
R/superpc.train.R
R/superpc.predict.red.cv.R
R/superpc.plot.lrtest.R
R/superpc.lrtest.curv.R
R/superpc.morefuns.R
R/superpc.fit.to.outcome.R
R/superpc.listfeatures.R
R/oldsuperpc.predict.red.cv.R
R/superpc.xlfuns.R
R/balanced.folds.R
R/superpc.decorrelate.R
R/superpc.rainbowplot.R
R/superpc.predict.R
R/superpc.predict.red.R
man
man/superpc.internal.Rd
man/superpc.predict.red.cv.Rd
man/superpc.predict.Rd
man/superpc.predictionplot.Rd
man/superpc.plotred.lrtest.Rd
man/superpc.rainbowplot.Rd
man/superpc.lrtest.curv.Rd
man/superpc.listfeatures.Rd
man/superpc.fit.to.outcome.Rd
man/superpc.plot.lrtest.Rd
man/superpc.plotcv.Rd
man/superpc.train.Rd
man/superpc.predict.red.Rd
man/superpc.decorrelate.Rd
man/superpc.cv.Rd
DESCRIPTION
superpc documentation built on May 19, 2017, 1:30 p.m.