split_formula

Split a lme4 style formula into nlme 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

split_formula function

<dl><dt>formula</dt>
<dd>a <code>formula</code> object</dd></dl>

Arguments

Split a formula into fixed and random effects parts — split_formula

<dl>

<dt>formula</dt>
<dd>a <code>formula</code> object</dd>

</dl>

split_formula: Split a formula into fixed and random effects parts

Description

Usage

Arguments

Details