dataLong

'dataLong' is a dataset simulated from a joint model for longitudinal and time-to-event data.
This dataset is used to illustrate both 'lqmm' and 'qrjm' functions.

Using a Bayesian estimation procedure, this package fits linear quantile regression models such as linear quantile models, linear quantile mixed models, quantile regression joint models for time-to-event and longitudinal data. The estimation procedure is based on the asymmetric Laplace distribution and the 'JAGS' software is used to get posterior samples (Yang, Luo, DeSantis (2019) <doi:10.1177/0962280218784757>).

Antoine Barbieri

BeQut

Bayesian Estimation for Quantile Regression Mixed Models

Hélène Jacqmin-Gadda

dataLong function

A <code>data.frame</code> with 1562 observations from 300 subjects. The columns are:<dl>
<dt>ID</dt>
<dd>integer: number for patient identification.</dd><dt>visit</dt>
<dd>numeric: measurement times for the repeated blood pressure measurements.</dd><dt>y</dt>
<dd>numeric: longitudinal measurements.</dd><dt>time</dt>
<dd>numeric: time to event (or censoring).</dd><dt>event</dt>
<dd>integer: event indicator. Coded as 0 = right-censoring, and 1 = event.</dd><dt>X1</dt>
<dd>integer: time-independent binary explanatory variable.</dd><dt>X2</dt>
<dd>numeric: time-independent continuous explanatory variable.</dd>
</dl>

Format

dataLong — dataLong

A <code>data.frame</code> with 1562 observations from 300 subjects. The columns are:<dl>
<dt>ID</dt>
<dd>integer: number for patient identification.</dd>

<dt>visit</dt>
<dd>numeric: measurement times for the repeated blood pressure measurements.</dd>

<dt>y</dt>
<dd>numeric: longitudinal measurements.</dd>

<dt>time</dt>
<dd>numeric: time to event (or censoring).</dd>

<dt>event</dt>
<dd>integer: event indicator. Coded as 0 = right-censoring, and 1 = event.</dd>

<dt>X1</dt>
<dd>integer: time-independent binary explanatory variable.</dd>

<dt>X2</dt>
<dd>numeric: time-independent continuous explanatory variable.</dd>


</dl>

dataLong: dataLong

Description

Usage

Arguments

Format

Examples