superpc (1.09)

0 users

Supervised principal components.

http://www-stat.stanford.edu/~tibs/superpc
http://cran.r-project.org/web/packages/superpc

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 over 5 years ago.


4 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

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.