plsRcox: Partial Least Squares Regression for Cox Models and RelatedTechniques
Provides Partial least squares Regression and various regular, sparse or kernel, techniques for fitting Cox models in high dimensional settings <doi:10.1093/bioinformatics/btu660>, Bastien, P., Bertrand, F., Meyer N., Maumy-Bertrand, M. (2015), Deviance residuals-based sparse PLS and sparse kernel PLS regression for censored data, Bioinformatics, 31(3):397-404. Cross validation criteria were studied in <doi:10.48550/arXiv.1810.02962>, Bertrand, F., Bastien, Ph. and Maumy-Bertrand, M. (2018), Cross validating extensions of kernel, sparse or regular partial least squares regression models to censored data.
| Version: | 1.8.0 |
| Depends: | R (≥ 2.4.0) |
| Imports: | survival,plsRglm,lars,pls,kernlab,mixOmics,risksetROC,survcomp,survAUC,rms |
| Suggests: | survivalROC,plsdof,testthat (≥ 3.0.0) |
| Published: | 2025-09-14 |
| DOI: | 10.32614/CRAN.package.plsRcox |
| Author: | Frederic Bertrand [cre, aut], Myriam Maumy-Bertrand [aut] |
| Maintainer: | Frederic Bertrand <frederic.bertrand at lecnam.net> |
| BugReports: | https://github.com/fbertran/plsRcox/issues/ |
| License: | GPL-3 |
| URL: | https://fbertran.github.io/plsRcox/,https://github.com/fbertran/plsRcox/ |
| NeedsCompilation: | no |
| Classification/MSC: | 62N01,62N02,62N03,62N99 |
| Citation: | plsRcox citation info |
| Materials: | README |
| In views: | Survival |
| CRAN checks: | plsRcox results |
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