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>
License: GPL-3
NeedsCompilation: no
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_0.9.999.tar.gz
OS X binary: plsRcox_0.9.999.tgz
Windows binary:
Old sources: plsRcox archive