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plsRcox (version 0.7.6)

Partial least squares Regression for Cox models and related techniques

Description

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.

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Version

Install

install.packages('plsRcox')

Monthly Downloads

1,372

Version

0.7.6

License

GPL-3

Maintainer

Frederic Bertrand

Last Published

November 12th, 2012

Functions in plsRcox (0.7.6)

print.plsRcoxmodel

Print method for plsRcox models
print.summary.plsRcoxmodel

Print method for summaries of plsRcox models
larsDR_coxph

Fitting a LASSO/LARS model on the (Deviance) Residuals
summary.plsRcoxmodel

Summary method for plsRcox models
Xmicro.censure_compl_imp

Imputed Microsat features
coxpls

Fitting a Cox-Model on PLSR components
coxDKsplsDR

Fitting a Direct Kernel sPLSR model on the (Deviance) Residuals
coxplsDR2

Fitting a PLSR model on the (Deviance) Residuals
predict.plsRcoxmodel

Print method for plsRcox models
coxDKplsDR

Fitting a Direct Kernel PLS model on the (Deviance) Residuals
plsRglm-package

Partial least squares Regression for generalized linear models
coxplsDR

Fitting a PLSR model on the (Deviance) Residuals
coxpls2

Fitting a Cox-Model on PLSR components
coxsplsDR

Fitting a sPLSR model on the (Deviance) Residuals
DR_coxph

(Deviance) Residuals Computation
plsRcox

Partial least squares Regression generalized linear models
micro.censure

Microsat features and survival times