data.GaussKronrod

Initialisation of Survival Data at Gauss Kronrod time points

Estimation of mixed models including a subject-specific variance which can be time and covariate dependent. In the joint model framework, the package handles left truncation and allows a flexible dependence structure between the competing events and the longitudinal marker. The estimation is performed under the frequentist framework, using the Marquardt-Levenberg algorithm. (Courcoul, Tzourio, Woodward, Barbieri, Jacqmin-Gadda (2023) <arXiv:2306.16785>).

Léonie Courcoul

FlexVarJM

Estimate Joint Models with Subject-Specific Variance

Antoine Barbieri

Hélène Jacqmin-Gadda

data.GaussKronrod function

<dl><dt>data.id</dt>
<dd>A database with covariates of interest and 1 line per subject</dd>
<dt>Time</dt>
<dd>A vector of time event</dd>
<dt>k</dt>
<dd>The number of Gauss Kronrod points, by default k = 15</dd></dl>

Arguments

Initialisation of Survival Data at Gauss Kronrod time points — data.GaussKronrod

<dl>

<dt>data.id</dt>
<dd>A database with covariates of interest and 1 line per subject</dd>


<dt>Time</dt>
<dd>A vector of time event</dd>


<dt>k</dt>
<dd>The number of Gauss Kronrod points, by default k = 15</dd>

</dl>

data.GaussKronrod: Initialisation of Survival Data at Gauss Kronrod time points

Description

Usage

Value

Arguments