simDat

A simulated data frame with variables<dl class="dl-horizontal">
 <dt>id</dt><dd>subjects identification</dd>
 <dt>Time</dt><dd>observation time</dd>
 <dt>status</dt><dd>terminal event indicator; 1 if a terminal event is recorded</dd>
 <dt>event</dt><dd>recurrent event indicator; 1 if a recurrent event is recorded</dd>
 <dt>x1</dt><dd>baseline covariate generated from a standard uniform distribution</dd>
 <dt>x2</dt><dd>baseline covariate generated from a standard uniform distribution (independent from <code>z1</code></dd>
</dl>

A collection of regression models for recurrent event process and failure time data. Available methods include these from Xu et al. (2017) <doi:10.1080/01621459.2016.1173557>, Lin et al. (2000) <doi:10.1111/1467-9868.00259>, Wang et al. (2001) <doi:10.1198/016214501753209031>, Ghosh and Lin (2003) <doi:10.1111/j.0006-341X.2003.00102.x>, and Huang and Wang (2004) <doi:10.1198/016214504000001033>.

Sy  Chiou

reReg

Recurrent Event Regression

Sy Han (Steven) Chiou

Chiung-Yu  Huang

simDat function

A data frame with 274 rows and 6 variables.

Format

A simulated data frame with variables<dl class='dl-horizontal'>
 <dt>id</dt><dd>subjects identification</dd>
 <dt>Time</dt><dd>observation time</dd>
 <dt>status</dt><dd>terminal event indicator; 1 if a terminal event is recorded</dd>
 <dt>event</dt><dd>recurrent event indicator; 1 if a recurrent event is recorded</dd>
 <dt>x1</dt><dd>baseline covariate generated from a standard uniform distribution</dd>
 <dt>x2</dt><dd>baseline covariate generated from a standard uniform distribution (independent from <code>z1</code></dd>
</dl>

simDat: Simulated dataset for demonstration

Description

Usage

Arguments

Format

Details