combine_formulas

Combine a single fixed and random effects formula by pasting them together.

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_formulas function

<dl><dt>fixed</dt>
<dd>fixed effects formula (two-sided <code>formula</code> object)</dd>
<dt>random</dt>
<dd>random effects formula (one-sided <code>formula</code> object)</dd></dl>

Arguments

Combine a fixed and random effects formula — combine_formulas

<dl>

<dt>fixed</dt>
<dd>fixed effects formula (two-sided <code>formula</code> object)</dd>


<dt>random</dt>
<dd>random effects formula (one-sided <code>formula</code> object)</dd>

</dl>

combine_formulas: Combine a fixed and random effects formula

Description

Usage

Arguments

Details