normalize_formula_args

Normalize formula arguments in arglist

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

normalize_formula_args function

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

Arguments

Normalize formula arguments in arglist — normalize_formula_args

<dl>

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

</dl>

normalize_formula_args: Normalize formula arguments in arglist

Description

Usage

Value

Arguments