This packages provides Partial least squares Regression
and various techniques for fitting Cox models in high
dimensionnal settings. It allows for Kfold crossvalidation of
such models using various criteria, missing data in the
eXplanatory variables. Bootstrap confidence intervals
constructions are also available.
| Version: |
0.2.0 |
| Depends: |
R (≥ 2.4.0) |
| Imports: |
boot, plsRglm, lars, survival, pls |
| Suggests: |
glcoxph, survivalROC, plsRglm, lars, survival, pls |
| Published: |
2011-01-15 |
| 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/ |
| Classification/MSC: |
62N01, 62N02, 62N03, 62N99 |
| Citation: |
plsRcox citation info |
| In views: |
Survival |
| CRAN checks: |
plsRcox results |