plsRcox: Partial least squares Regression for Cox models and related techniques

This packages provides Partial least squares Regression and various regular, sparse or kernel, techniques for fitting Cox models in high dimensional settings.

Version: 0.9.999
Depends: R (≥ 2.4.0)
Imports: boot, plsRglm, lars, survival, pls, kernlab, mixOmics
Suggests: survivalROC, plsdof
Published: 2014-03-12
Author: Frederic Bertrand, Myriam Maumy-Bertrand, Nicolas Meyer.
Maintainer: Frederic Bertrand <frederic.bertrand at math.unistra.fr>
License: GPL-3
URL: http://www-irma.u-strasbg.fr/~fbertran/
NeedsCompilation: no
Classification/MSC: 62N01, 62N02, 62N03, 62N99
Citation: plsRcox citation info
Materials: NEWS
In views: Survival
CRAN checks: plsRcox results

Downloads:

Reference manual: plsRcox.pdf
Package source: plsRcox_0.9.999.tar.gz
MacOS X binary: plsRcox_0.9.999.tgz
Windows binary: plsRcox_0.9.999.zip
Old sources: plsRcox archive