extract_ranef_formula

Extract random effects formula from lme4-type formula

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_ranef_formula function

<dl><dt>formula</dt>
<dd>a <code>formula</code> object (typically in lme4-style)</dd></dl>

Arguments

Extract random effects formula from lme4-type formula — extract_ranef_formula

<dl>

<dt>formula</dt>
<dd>a <code>formula</code> object (typically in lme4-style)</dd>

</dl>

extract_ranef_formula: Extract random effects formula from lme4-type formula

Description

Usage

Value

Arguments