Supervised Principal Components


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Documentation for package ‘superpc’ version 1.12

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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 components
superpc.listfeatures Return a list of the important predictors
superpc.lrtest.curv Compute values of likelihood ratio test from supervised principal components fit
superpc.news Display the 'superpc' Package News
superpc.plot.lrtest Plot likelhiood ratio test statistics
superpc.plotcv Plot output from superpc.cv
superpc.plotred.lrtest Plot likelihood ratio test statistics from supervised principal components predictor
superpc.predict Form principal components predictor from a trained superpc object
superpc.predict.red Feature selection for supervised principal components
superpc.predict.red.cv Cross-validation of feature selection for supervised principal components
superpc.predictionplot Plot outcome predictions from superpc
superpc.rainbowplot Make rainbow plot of superpc and compeiting predictors
superpc.train Prediction by supervised principal components