wvar

Function for Weighted variance estimation

internal

This contains functions that can be used 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 for correlated right-censored time-to-event data. See
Beyene and Chen (2024) <doi:10.1177/09622802231220496>.

Kassu Mehari Beyene

frailtyROC

Time-Dependent ROC Curve Estimation for Correlated
Right-Censored Survival Data

Ding-Geng Chen

wvar function

<dl><dt>X</dt>
<dd>The numeric data vector.</dd>
<dt>wt</dt>
<dd>The non-negative weight vector.</dd>
<dt>na.rm</dt>
<dd>The character indicator whether to consider missing value(s) or not. The default is FALSE.</dd></dl>

Arguments

Function for Weighted variance estimation — wvar

<dl>

<dt>X</dt>
<dd>The numeric data vector.</dd>


<dt>wt</dt>
<dd>The non-negative weight vector.</dd>


<dt>na.rm</dt>
<dd>The character indicator whether to consider missing value(s) or not. The default is FALSE.</dd>

</dl>

wvar: Function for Weighted variance estimation

Description

Usage

Arguments