The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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: | 1.7.7 |
Depends: | R (≥ 2.4.0) |
Imports: | survival, plsRglm, lars, pls, kernlab, mixOmics, risksetROC, survcomp, survAUC, rms |
Suggests: | survivalROC, plsdof |
Published: | 2022-11-29 |
DOI: | 10.32614/CRAN.package.plsRcox |
Author: | Frederic Bertrand [cre, aut], Myriam Maumy-Bertrand [aut] |
Maintainer: | Frederic Bertrand <frederic.bertrand at utt.fr> |
BugReports: | https://github.com/fbertran/plsRcox/issues/ |
License: | GPL-3 |
URL: | http://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 |
Reference manual: | plsRcox.pdf |
Package source: | plsRcox_1.7.7.tar.gz |
Windows binaries: | r-devel: plsRcox_1.7.7.zip, r-release: plsRcox_1.7.7.zip, r-oldrel: plsRcox_1.7.7.zip |
macOS binaries: | r-release (arm64): plsRcox_1.7.7.tgz, r-oldrel (arm64): plsRcox_1.7.7.tgz, r-release (x86_64): plsRcox_1.7.7.tgz, r-oldrel (x86_64): plsRcox_1.7.7.tgz |
Old sources: | plsRcox archive |
Reverse imports: | biospear, plasma |
Please use the canonical form https://CRAN.R-project.org/package=plsRcox to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.