superpc (1.09)

0 users

Supervised principal components.

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

Maintainer: Rob Tibshirani
Author(s): Eric Bair, R. Tibshirani

License: GPL-2

Uses: survival
Reverse depends: aBioMarVsuit, PRIMsrc, TSPC
Reverse suggests: caret, fscaret

Released almost 8 years ago.

4 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of superpc yet. Want to be the first? Write one now.

Related packages: MCMCpack, party, rpart, VGAM, abind, ade4, amap, aplpack, ash, bayesm, calibrate, ca, car, caret, cwhmisc, clue, cluster, clusterGeneration, clusterSim, clustvarsel(20 best matches, based on common tags.)

Search for superpc on google, google scholar, r-help, r-devel.

Visit superpc on R Graphical Manual.