simIC_cluster

Simulates data in which each subject is observed several times. 
In this case, the covariance matrix should be updated with <code>ir_clustBoot</code>.

Regression models for interval censored data. Currently supports
Cox-PH, proportional odds, and accelerated failure time models. Allows for
semi and fully parametric models (parametric only for accelerated failure
time models) and Bayesian parametric models. Includes functions for easy visual
diagnostics of model fits and imputation of censored data.

Clifford Anderson-Bergman

icenReg

Regression Models for Interval Censored Data

simIC_cluster function

<dl><dt>nIDs</dt>
<dd>Number of subjects</dd>
<dt>nPerID</dt>
<dd>Number of observations per subject</dd></dl>

Arguments

Simulates data with multiple observations per subject — simIC_cluster

<dl>

<dt>nIDs</dt>
<dd>Number of subjects</dd>


<dt>nPerID</dt>
<dd>Number of observations per subject</dd>

</dl>

simIC_cluster: Simulates data with multiple observations per subject

Description

Usage

Arguments