plsRcox: Partial Least Squares Regression for Cox Models and Related Techniques

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

Version: 1.7.2
Depends: R (≥ 2.4.0)
Imports: survival, plsRglm, lars, pls, kernlab, mixOmics, risksetROC, survcomp, survAUC, rms
Suggests: survivalROC, plsdof
Published: 2014-12-17
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: NA
Materials: NA
In views: Survival
CRAN checks: plsRcox results

Downloads:

Reference manual: plsRcox.pdf
Package source: plsRcox_1.7.2.tar.gz
Windows binaries: r-devel: plsRcox_1.7.2.zip, r-release: plsRcox_1.7.2.zip, r-oldrel: plsRcox_1.7.2.zip
OS X Snow Leopard binaries: r-release: plsRcox_1.7.2.tgz, r-oldrel: plsRcox_1.7.2.tgz
OS X Mavericks binaries: r-release: plsRcox_1.7.2.tgz
Old sources: plsRcox archive