get_datlvls

For each column in a <code>data.frame</code>-like object, identify the hierarchical
level as the highest grouping level from <code>groups_df</code> for which the column is
identical for all members of every group.

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_datlvls function

<dl><dt>data</dt>
<dd>a <code>data.frame</code></dd>
<dt>groups_df</dt>
<dd>the <code>data.frame</code> of (integer) grouping vectors of length
<code>nrow(data)</code>.</dd></dl>

Arguments

Determine grouping level of data — get_datlvls

<dl>

<dt>data</dt>
<dd>a <code>data.frame</code></dd>


<dt>groups_df</dt>
<dd>the <code>data.frame</code> of (integer) grouping vectors of length
<code>nrow(data)</code>.</dd>

</dl>

get_datlvls: Determine grouping level of data

Description

Usage

Value

Arguments

See Also