PLL.coxph

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>.

Frederic Bertrand

peperr

Parallelised Estimation of Prediction Error

PLL.coxph function

<dl> <dt>object</dt>
<dd>fitted model of class <code>coxph</code>.</dd> <dt>newdata</dt>
<dd><code>n_new*p</code> matrix of covariates.</dd> <dt>newtime</dt>
<dd><code>n_new</code>-vector of censored survival times.</dd> <dt>newstatus</dt>
<dd><code>n_new</code>-vector of survival status, coded with 0 and .1</dd> <dt>complexity</dt>
<dd>not used.</dd> <dt>...</dt>
<dd>additional arguments, not used.</dd></dl>

Arguments

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

<dl>

 <dt>object</dt>
<dd>fitted model of class <code>coxph</code>.</dd>

 <dt>newdata</dt>
<dd><code>n_new*p</code> matrix of covariates.</dd>

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

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

 <dt>complexity</dt>
<dd>not used.</dd>

 <dt>...</dt>
<dd>additional arguments, not used.</dd>

</dl>

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

Description

Usage

Value

Arguments

Details