extract_grouping

Extracts the grouping variables (i.e., variables after <code>|</code>) from a model
formula or a list of such formulas

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

extract_grouping function

<dl><dt>formula</dt>
<dd>a <code>formula</code> object or a <code>list</code> of <code>formula</code> objects</dd>
<dt>warn</dt>
<dd>does nothing</dd></dl>

Arguments

Extract grouping variables from a (list of) formula(s) — extract_grouping

<dl>

<dt>formula</dt>
<dd>a <code>formula</code> object or a <code>list</code> of <code>formula</code> objects</dd>


<dt>warn</dt>
<dd>does nothing</dd>

</dl>

extract_grouping: Extract grouping variables from a (list of) formula(s)

Description

Usage

Value

Arguments