superpc v1.09


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Supervised principal components

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

Functions in superpc

Name Description
superpc.decorrelate Decorrelate features with respect to competing predictors
superpc.plot.lrtest Plot likelhiood ratio test statistics
superpc.plotred.lrtest Plot likelihood ratio test statistics from supervised principal components predictor
superpc-internal Internal superpc functions
superpc.rainbowplot Make rainbow plot of superpc and compeiting predictors Feature selection for supervised principal components Cross-validation of feature selection for supervised principal components
superpc.plotcv Plot output from
superpc.predictionplot Plot outcome predictions from superpc
superpc.predict Form principal components predictor from a trained superpc object Fit predictive model using outcome of supervised principal components
superpc.listfeatures Return a list of the important predictors Cross-validation for supervised principal components
superpc.lrtest.curv Compute values of likelihood ratio test from supervised principal components fit
superpc.train Prediction by supervised principal components
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LazyLoad false
LazyData false
License GPL-2
Packaged 2012-02-26 20:06:30 UTC; tibs
Repository CRAN
Date/Publication 2012-02-27 07:36:05
depends survival
Contributors Eric Bair, R. Tibshirani

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