combine_formula_lists

A function to combine nlme-style fixed and random effects formulas into
lme4 style 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 Erler

JointAI

Joint Analysis and Imputation of Incomplete Data

Nicole S. Erler

combine_formula_lists function

<dl><dt>fixed</dt>
<dd>a fixed effects formula or list of such formulas</dd>
<dt>random</dt>
<dd>a random effects formula (only RHS) or list of such formulas</dd>
<dt>warn</dt>
<dd>logical; should the warning(s) be printed</dd></dl>

Arguments

Combine fixed and random effects formulas — combine_formula_lists

<dl>

<dt>fixed</dt>
<dd>a fixed effects formula or list of such formulas</dd>


<dt>random</dt>
<dd>a random effects formula (only RHS) or list of such formulas</dd>


<dt>warn</dt>
<dd>logical; should the warning(s) be printed</dd>

</dl>

combine_formula_lists: Combine fixed and random effects formulas

Description

Usage

Arguments

Details