PLL.coxph

fitted model of class <code>coxph</code>.

object

<code>n_new*p</code> matrix of covariates.

newdata

<code>n_new</code>-vector of censored survival times.

newtime

<code>n_new</code>-vector of survival status, coded with 0 and .1

newstatus

complexity

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Extracts the predictive partial log-likelihood from a coxph model fit.

models

regression

survival

Designed for prediction error estimation
through resampling techniques, possibly accelerated by parallel
execution on a compute cluster. Newly developed model fitting
routines can be easily incorporated. Methods used in the package are detailed in
Porzelius Ch., Binder H. and Schumacher M. (2009) <doi:10.1093/bioinformatics/btp062>
and were used, for instance, in
Porzelius Ch., Schumacher M.and Binder H. (2011) <doi:10.1007/s00180-011-0236-6>.

PLL.coxph: Predictive partial log-likelihood for Cox poportional hazards model

Description

Usage

Arguments

Value

Details