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Internal superpc functions
● Data Source:
CranContrib
● Keywords: internal
● Alias: cor.func, coxfunc, coxscor, coxstuff, coxvar, mysvd, superpc.xl.decorrelate, superpc.xl.decorrelate.test, superpc.xl.fit.to.clin, superpc.xl.get.threshold.range, superpc.xl.listgenes.compute, superpc.xl.rainbowplot
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superpc.predict.red.cv
(Package: superpc) :
Cross-validation of feature selection for supervised principal components
Applies superpc.predict.red to cross-validation folds generates in superpc.cv. Uses the output to evaluate reduced models, and compare them to the full supervised principal components predictor.
● Data Source:
CranContrib
● Keywords: regression, survival
● Alias: superpc.predict.red.cv
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superpc.predict
(Package: superpc) :
Form principal components predictor from a trained superpc object
Computes supervised principal components, using scores from "object"
● Data Source:
CranContrib
● Keywords: regression, survival
● Alias: superpc.predict
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Plots outcome predictions from superpc
● Data Source:
CranContrib
● Keywords: regression, survival
● Alias: superpc.predictionplot
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Plot likelihood ratio test statistics from supervised principal components predictor
● Data Source:
CranContrib
● Keywords: regression, survival
● Alias: superpc.plotred.lrtest
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superpc.rainbowplot
(Package: superpc) :
Make rainbow plot of superpc and compeiting predictors
Makes a heatmap display of outcome predictions from superpc, along with expected survival time, and values of competing predictors
● Data Source:
CranContrib
● Keywords: regression, survival
● Alias: superpc.rainbowplot
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superpc.lrtest.curv
(Package: superpc) :
Compute values of likelihood ratio test from supervised principal components fit
Compute values of likelihood ratio test from supervised principal components fit
● Data Source:
CranContrib
● Keywords: regression, survival
● Alias: superpc.lrtest.curv
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superpc.listfeatures
(Package: superpc) :
Return a list of the important predictors
Return a list of the important predictor
● Data Source:
CranContrib
● Keywords: regression, survival
● Alias: superpc.listfeatures
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superpc.fit.to.outcome
(Package: superpc) :
Fit predictive model using outcome of supervised principal components
Fit predictive model using outcome of supervised principal components, via either coxph (for surival data) or lm (for regression data)
● Data Source:
CranContrib
● Keywords: regression, survival
● Alias: superpc.fit.to.outcome
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Plot likelhiood ratio test statistics from output of superpc.predict
● Data Source:
CranContrib
● Keywords: regression, survival
● Alias: superpc.plot.lrtest
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providing 
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