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 math.unistra.fr> |
| License: |
GPL-3 |
| URL: |
http://www-irma.u-strasbg.fr/~fbertran/ |
| NeedsCompilation: |
no |
| SystemRequirements: |
survival |
| Classification/MSC: |
62N01, 62N02, 62N03, 62N99 |
| Citation: |
plsRcox citation info |
| Materials: |
NEWS |
| In views: |
Survival |
| CRAN checks: |
plsRcox results |