fit.coxph

Interface for fitting survival models by Cox proporional hazards model, conforming to the requirements for argument <code>fit.fun</code> in <code>peperr</code> call.

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

fit.coxph function

<dl> <dt>response</dt>
<dd>a survival object (with <code>Surv(time, status)</code>).</dd> <dt>x</dt>
<dd><code>n*p</code> matrix of covariates.</dd> <dt>cplx</dt>
<dd>not used.</dd> <dt>...</dt>
<dd>additional arguments passed to <code>coxph</code> call.</dd></dl>

Arguments

Interface function for fitting a Cox proportional hazards model — fit.coxph

<dl>

 <dt>response</dt>
<dd>a survival object (with <code>Surv(time, status)</code>).</dd>

 <dt>x</dt>
<dd><code>n*p</code> matrix of covariates.</dd>

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

 <dt>...</dt>
<dd>additional arguments passed to <code>coxph</code> call.</dd>

</dl>

fit.coxph: Interface function for fitting a Cox proportional hazards model

Description

Usage

Value

Arguments

Details

See Also