superpc v1.09
0
Monthly downloads
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 | |
| superpc.predict.red | Feature selection for supervised principal components | |
| superpc.predict.red.cv | Cross-validation of feature selection for supervised principal components | |
| superpc.plotcv | Plot output from superpc.cv | |
| superpc.predictionplot | Plot outcome predictions from superpc | |
| superpc.predict | Form principal components predictor from a trained superpc object | |
| superpc.fit.to.outcome | Fit predictive model using outcome of supervised principal components | |
| superpc.listfeatures | Return a list of the important predictors | |
| superpc.cv | 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 | |
| No Results! | ||
Last month downloads
Details
| LazyLoad | false |
| LazyData | false |
| License | GPL-2 |
| URL | http://www-stat.stanford.edu/~tibs/superpc |
| 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 |
Include our badge in your README
[](http://www.rdocumentation.org/packages/superpc)