INLAjoint.rw2

Setup random walk of order 2
input:

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

INLAjoint.rw2 function

<dl><dt>n</dt>
<dd>number of knots</dd>
<dt>order</dt>
<dd>order 2</dd>
<dt>...</dt>
<dd>additional arguments passed to INLAjoint.rw
output:</dd></dl>

Arguments

Setup rw2 — INLAjoint.rw2

<dl>

<dt>n</dt>
<dd>number of knots</dd>


<dt>order</dt>
<dd>order 2</dd>


<dt>...</dt>
<dd>additional arguments passed to INLAjoint.rw
output:</dd>

</dl>

INLAjoint.rw2: Setup rw2

Description

Usage

Value

Arguments