get_grouping_levels

A helper function that identifies the hierarchy of grouping variables. It
checks for each grouping level how many of the other grouping levels it
varies within and returns the ranked order of the grouping levels.

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

get_grouping_levels function

<dl><dt>grouping_df</dt>
<dd>a <code>data.frame</code> of grouping ("id") variables, as obtained
from <code>get_groups()</code></dd></dl>

Arguments

Get grouping levels — get_grouping_levels

<dl>

<dt>grouping_df</dt>
<dd>a <code>data.frame</code> of grouping ("id") variables, as obtained
from <code>get_groups()</code></dd>

</dl>

get_grouping_levels: Get grouping levels

Description

Usage

Value

Arguments