split_formula_list

Calls <code>extract_fixef_formula()</code> and <code>extract_ranef_formula()</code> on each
formula in a list to create one list of the
fixed effects formulas and one list containing the random effects 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

split_formula_list function

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

Arguments

Split a list of formulas into fixed and random effects parts. — split_formula_list

<dl>

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

</dl>

split_formula_list: Split a list of formulas into fixed and random effects parts.

Description

Usage

Value

Arguments

Details