check_groups_vary_within_lvl

Check if a grouping variable varies within another grouping variable

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

check_groups_vary_within_lvl function

<dl><dt>lvl</dt>
<dd>a vector defining a grouping level</dd>
<dt>grouping_df</dt>
<dd>a <code>data.frame</code> with where each column contains the
grouping indices of a hierarchical level (as obtained
by <code>get_groups(...)</code>)</dd></dl>

Arguments

Check if a grouping variable varies within another grouping variable — check_groups_vary_within_lvl

<dl>

<dt>lvl</dt>
<dd>a vector defining a grouping level</dd>


<dt>grouping_df</dt>
<dd>a <code>data.frame</code> with where each column contains the
grouping indices of a hierarchical level (as obtained
by <code>get_groups(...)</code>)</dd>

</dl>

check_groups_vary_within_lvl: Check if a grouping variable varies within another grouping variable

Description

Usage

Value

Arguments