check_fixed_random

Checks if the objects provided to the <code>formula</code> and <code>fixed</code> arguments contain
a random effects specification. This function is used in random effects
models.
In case the combined fixed and random effects formula is part of the <code>fixed</code>
element, it is moved into the <code>formula</code> element.

internal

Joint analysis and imputation of incomplete data in the Bayesian
framework, using (generalized) linear (mixed) models and extensions there of,
survival models, or joint models for longitudinal and survival data, as
described in Erler, Rizopoulos and Lesaffre (2021) <doi:10.18637/jss.v100.i20>.
Incomplete covariates, if present, are automatically imputed.
The package performs some preprocessing of the data and creates a 'JAGS'
model, which will then automatically be passed to 'JAGS'
<https://mcmc-jags.sourceforge.io/> with the help of
the package 'rjags'.

Nicole S. Erler

JointAI

Joint Analysis and Imputation of Incomplete Data

check_fixed_random function

<dl><dt>arglist</dt>
<dd>A list containing 'fixed', 'random', and 'formula' elements.</dd></dl>

Arguments

Check whether fixed or formula contains a random effects specification — check_fixed_random

<dl>

<dt>arglist</dt>
<dd>A list containing 'fixed', 'random', and 'formula' elements.</dd>

</dl>

check_fixed_random: Check whether fixed or formula contains a random effects specification

Description

Usage

Value

Arguments