RocFun

The vector of grid points where the ROC curve is estimated.

The numeric vector of marker values for which the time-dependent ROC curves is computed.

The bandwidth parameter for smoothing the ROC function. The possible options are <code>NR</code> normal reference method; <code>PI</code> plug-in method and <code>CV</code> cross-validation method. The default is the <code>NR</code> normal reference method.

is the method of ROC curve estimation. The possible options are <code>emp</code> emperical metod; <code>untra</code> smooth without boundary correction and <code>tra</code> is smooth ROC curve estimation with boundary correction.

method

A character string giving the type kernel to be used: "<code>normal</code>", "<code>epanechnikov</code>", "<code>biweight</code>", or "<code>triweight</code>".

ktype

internal

Contains functions to estimate a smoothed and a non-smoothed (empirical)
time-dependent ROC curve (receiver operating characteristic curve) and
the corresponding area under the ROC curve (AUC) and the optimal cutoff
point for the right and interval censored survival data, as described in
Beyene and El Ghouch (2019)<https://dial.uclouvain.be/pr/boreal/object/boreal:219643>.

RocFun: ROC estimation function

Description

Usage

Arguments

References