joint.rerun

Reruns inla() for an object of class <code>INLAjoint</code> returned by the <code>joint</code>
 function. The rerun starts with posterior values from previous run and can sometimes improve the model fit
 (for very complex models or unstable parameter estimates due to low information in the data)

Estimation of joint models for multivariate longitudinal markers (with various distributions available) and survival outcomes (possibly accounting for competing risks) with Integrated Nested Laplace Approximations (INLA). The flexible and user friendly function joint() facilitates the use of the fast and reliable inference technique implemented in the 'INLA' package for joint modeling. More details are given in the help page of the joint() function (accessible via ?joint in the R console) and the vignette associated to the joint() function (accessible via vignette("INLAjoint") in the R console).

Denis Rustand

INLAjoint

Multivariate Joint Modeling for Longitudinal and Time-to-Event
Outcomes with 'INLA'

Elias Teixeira Krainski

Haavard Rue

Janet van Niekerk

joint.rerun function

<dl><dt>model</dt>
<dd>an object containing a model fitted with the joint() function.</dd>
<dt>...</dt>
<dd>Extra arguments.</dd></dl>

Arguments

Rerun a model fitted with INLAjoint — joint.rerun

<dl>

<dt>model</dt>
<dd>an object containing a model fitted with the joint() function.</dd>


<dt>...</dt>
<dd>Extra arguments.</dd>

</dl>

joint.rerun: Rerun a model fitted with INLAjoint

Description

Usage

Value

Arguments

See Also