CRAN/E | plsRcox

plsRcox

Partial Least Squares Regression for Cox Models and Related Techniques

Installation

About

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 , 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.

Citation plsRcox citation info
fbertran.github.io/plsRcox/
github.com/fbertran/plsRcox/
Bug report File report

Key Metrics

Version 1.7.7
R ≥ 2.4.0
Published 2022-11-29 678 days ago
Needs compilation? no
License GPL-3
CRAN checks plsRcox results

Downloads

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Last 30 days 874 -10%
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Last 365 days 9.207 +21%

Maintainer

Maintainer

Frederic Bertrand

Authors

Frederic Bertrand

cre / aut

Myriam Maumy-Bertrand

aut

Material

README
Reference manual
Package source

In Views

Survival

Classification MSC

62N01
62N02
62N03
62N99

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

plsRcox archive

Depends

R ≥ 2.4.0

Imports

survival
plsRglm
lars
pls
kernlab
mixOmics
risksetROC
survcomp
survAUC
rms

Suggests

survivalROC
plsdof

Reverse Imports

biospear