LongMS

A simulated dataset used to illustrate joint models with univariate longitudinal and multi-state survival component (see joint longitudinal and multi-state model in INLAjoint vignette). The corresponding survival dataset is named 'SurvMS'.

datasets

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

LongMS function

## `LongMS`
A data frame with 96 rows and 7 columns:<dl>
 <dt>id</dt>
<dd>Individual id</dd> <dt>time</dt>
<dd>Visit times</dd> <dt>X</dt>
<dd>Continuous covariate</dd> <dt>y</dt>
<dd>Gaussian longitudinal outcome</dd> ...</dl>

Format

Simulated univariate longitudinal dataset — LongMS

## `LongMS`
A data frame with 96 rows and 7 columns:<dl>
 <dt>id</dt>
<dd>Individual id</dd>

 <dt>time</dt>
<dd>Visit times</dd>

 <dt>X</dt>
<dd>Continuous covariate</dd>

 <dt>y</dt>
<dd>Gaussian longitudinal outcome</dd>

 ...

</dl>

LongMS: Simulated univariate longitudinal dataset

Description

Usage

Arguments

Format