Special

an object of class 'pec' as returned by the <code>pec</code> function.

Additional prediction errors. The options are bootstrap
cross-validation errors or apparent errors.

addprederr

One model also specified in <code>pec</code> for which the
<code>predErr</code> in <code>plot.pec</code> is to be drawn.

models

A benchmark model (also specified in <code>pec</code>) for which the
<code>predErr</code> in <code>plot.pec</code> is to be drawn.

bench

benchcol

Time points at which the curves must be plotted.

times

Maximum number of bootstrap curves to be added. Default is
all.

maxboot

Color of the bootstrapped curves. Default is 'gray77'.

bootcol

Color of the different error curves for <code>models</code>.

Line type of the different error curves for <code>models</code>.

Line width of the different error curves for <code>models</code>.


This function is invoked and controlled by <code>plot.pec</code>.


Validation of risk predictions obtained from survival models and
competing risk models based on censored data using inverse weighting and
cross-validation.

Thomas Alexander Gerds

Prediction Error Curves for Risk Prediction Models in Survival
Analysis

Special function

Drawing bootstrapped cross-validation curves and the .632 or .632plus error
of models. The prediction error for an optional benchmark model can be added
together with bootstrapped cross-validation error and apparent errors.

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Special: Drawing bootstrapped cross-validation curves and the .632 or .632plus error of models. The prediction error for an optional benchmark model can be added together with bootstrapped cross-validation error and apparent errors.

Description

Usage

Arguments

Value

Details

See Also