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: 1.7.0
Depends: R (≥ 2.4.0)
Imports: survival, plsRglm, lars, pls, kernlab, mixOmics, risksetROC, survcomp, survAUC, rms
Suggests: survivalROC, plsdof
Published: 2014-07-19
Author: Frederic Bertrand, Myriam Maumy-Bertrand, Nicolas Meyer.
Maintainer: Frederic Bertrand <frederic.bertrand at>
License: GPL-3
NeedsCompilation: no
SystemRequirements: survival
Classification/MSC: 62N01, 62N02, 62N03, 62N99
Citation: plsRcox citation info
Materials: NEWS
In views: Survival
CRAN checks: plsRcox results


Reference manual: plsRcox.pdf
Package source: plsRcox_1.7.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: plsRcox_1.7.0.tgz, r-oldrel: plsRcox_1.7.0.tgz
OS X Mavericks binaries: r-release: plsRcox_1.7.0.tgz
Old sources: plsRcox archive