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plsRcox (version 1.0)

Partial least squares Regression for Cox models and related techniques

Description

This packages provides Partial least squares Regression and various regular, sparse or kernel, techniques for fitting Cox models in high dimensional settings.

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Version

Install

install.packages('plsRcox')

Monthly Downloads

1,372

Version

1.0

License

GPL-3

Maintainer

Frederic Bertrand

Last Published

June 28th, 2014

Functions in plsRcox (1.0)

plsRcox

Partial least squares Regression generalized linear models
coxpls

Fitting a Cox-Model on PLSR components
coxDKplsDR

Fitting a Direct Kernel PLS model on the (Deviance) Residuals
coxsplsDR

Fitting a sPLSR model on the (Deviance) Residuals
coxpls3

Fitting a Cox-Model on PLSR components
print.plsRcoxmodel

Print method for plsRcox models
coxpls3DR

Fitting a PLSR model on the (Deviance) Residuals
coxpls2

Fitting a Cox-Model on PLSR components
larsDR_coxph

Fitting a LASSO/LARS model on the (Deviance) Residuals
micro.censure

Microsat features and survival times
coxpls2DR

Fitting a PLSR model on the (Deviance) Residuals
internal-plsRcox

Internal plsRcox functions
coxDKsplsDR

Fitting a Direct Kernel sPLSR model on the (Deviance) Residuals
summary.plsRcoxmodel

Summary method for plsRcox models
predict.plsRcoxmodel

Print method for plsRcox models
coxplsDR

Fitting a PLSR model on the (Deviance) Residuals
DR_coxph

(Deviance) Residuals Computation
coxDKpls2DR

Fitting a Direct Kernel PLS model on the (Deviance) Residuals
Xmicro.censure_compl_imp

Imputed Microsat features
print.summary.plsRcoxmodel

Print method for summaries of plsRcox models