varname_to_modelframe

Create data.frame from variable term and data

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

varname_to_modelframe function

<dl><dt>varname</dt>
<dd>character string giving the variable name or model term</dd>
<dt>data</dt>
<dd>a data.frame containing the variables mentioned in <code>varname</code></dd></dl>

Arguments

Create data.frame from variable term and data — varname_to_modelframe

<dl>

<dt>varname</dt>
<dd>character string giving the variable name or model term</dd>


<dt>data</dt>
<dd>a data.frame containing the variables mentioned in <code>varname</code></dd>

</dl>

varname_to_modelframe: Create data.frame from variable term and data

Description

Usage

Value

Arguments