check.frailty_dispersion

The function controls that the frailty standard deviation vector has a length equal to the number of inyervals of the time domain and
that its elements are non-negative.

internal

Fits time-dependent shared frailty Cox model (specifically the adapted Paik et al.'s Model) based on the paper "Centre-Effect on Survival After Bone Marrow Transplantation: Application of Time-Dependent Frailty Models", by C.M. Wintrebert, H. Putter, A.H. Zwinderman and J.C. van Houwelingen (2004) <doi:10.1002/bimj.200310051>.

Alessandra Ragni

TimeDepFrail

Time Dependent Shared Frailty Cox Model

Giulia Romani

Chiara Masci

check.frailty_dispersion function

<dl><dt>frailty_dispersion</dt>
<dd>Frailty dispersion</dd>
<dt>n_intervals</dt>
<dd>Number of intervals of the time-domain</dd></dl>

Arguments

Check Correctness of Frailty Standard Deviation — check.frailty_dispersion

<dl>

<dt>frailty_dispersion</dt>
<dd>Frailty dispersion</dd>


<dt>n_intervals</dt>
<dd>Number of intervals of the time-domain</dd>

</dl>

check.frailty_dispersion: Check Correctness of Frailty Standard Deviation

Description

Usage

Value

Arguments