get_groups

A helper function that generates grouping information from a data.frame
and a character vector with the names of grouping variables.
In all cases, the level "lvlone" is added to indicate the lowest level of
the data (i.e., each observation is its own 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_groups function

<dl><dt>idvars</dt>
<dd>a character vector with the names of grouping variables</dd>
<dt>data</dt>
<dd>a data.frame</dd></dl>

Arguments

Get grouping information — get_groups

<dl>

<dt>idvars</dt>
<dd>a character vector with the names of grouping variables</dd>


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

</dl>

get_groups: Get grouping information

Description

Usage

Value

Arguments