kfunc

Function to evaluate the matrix of data vector minus the grid points divided by the bandwidth value.

internal

Contains functions to estimate a smoothed and a non-smoothed (empirical) time-dependent
receiver operating characteristic curve and the corresponding area under the receiver
operating characteristic curve and the optimal cutoff point for the right and interval
censored survival data. See Beyene and El Ghouch (2020)<doi:10.1002/sim.8671> and Beyene
and El Ghouch (2022) <doi:10.1002/bimj.202000382>.

Kassu Mehari Beyene

cenROC

Estimating Time-Dependent ROC Curve and AUC for Censored Data

Anouar El Ghouch

kfunc function

<dl><dt>ktype</dt>
<dd>A character string giving the type kernel to be used: "<code>normal</code>", "<code>epanechnikov</code>", "<code>biweight</code>", or "<code>triweight</code>". By default, the "<code>normal</code>" kernel is used.</dd>
<dt>difmat</dt>
<dd>A numeric matrix of sample data (X) minus evaluation points (x0) divided by bandwidth value (bw).</dd></dl>

Arguments

Function to evaluate the matrix of data vector minus the grid points divided by the bandwidth value. — kfunc

<dl>

<dt>ktype</dt>
<dd>A character string giving the type kernel to be used: "<code>normal</code>", "<code>epanechnikov</code>", "<code>biweight</code>", or "<code>triweight</code>". By default, the "<code>normal</code>" kernel is used.</dd>


<dt>difmat</dt>
<dd>A numeric matrix of sample data (X) minus evaluation points (x0) divided by bandwidth value (bw).</dd>

</dl>

kfunc: Function to evaluate the matrix of data vector minus the grid points divided by the bandwidth value.

Description

Usage

Value

Arguments