get_nranef

This function extracts the number of random effects per variable and grouping
level from the provided random effects 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 S. Erler

JointAI

Joint Analysis and Imputation of Incomplete Data

get_nranef function

<dl><dt>random</dt>
<dd>a random effect formula or list of random effects formulas</dd>
<dt>data</dt>
<dd>a <code>data.frame</code></dd></dl>

Arguments

Extract the number of random effects — get_nranef

<dl>

<dt>random</dt>
<dd>a random effect formula or list of random effects formulas</dd>


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

</dl>

get_nranef: Extract the number of random effects

Description

Usage

Value

Arguments