prep_arglist

Prepare list of arguments for model_imp()

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

prep_arglist function

<dl><dt>analysis_type</dt>
<dd>Type of analysis to be performed (from <code>*_imp()</code>)</dd>
<dt>family</dt>
<dd><code>family</code> object or character string specifying the error
distribution and link function.</dd>
<dt>formals</dt>
<dd>List of formal arguments for the function.</dd>
<dt>call</dt>
<dd>The matched call as returned by <code><a href="/link/match.call()?package=JointAI&version=1.1.0" data-mini-rdoc="JointAI::match.call()">match.call()</a></code>.</dd>
<dt>sframe</dt>
<dd>An environment (typically from <code>sys.frame(sys.nframe())</code>)</dd></dl>

Arguments

Prepare list of arguments for model_imp() — prep_arglist

<dl>

<dt>analysis_type</dt>
<dd>Type of analysis to be performed (from <code>*_imp()</code>)</dd>


<dt>family</dt>
<dd><code>family</code> object or character string specifying the error
distribution and link function.</dd>


<dt>formals</dt>
<dd>List of formal arguments for the function.</dd>


<dt>call</dt>
<dd>The matched call as returned by <code><a href='https://rdrr.io/r/base/match.call.html'>match.call()</a></code>.</dd>


<dt>sframe</dt>
<dd>An environment (typically from <code>sys.frame(sys.nframe())</code>)</dd>

</dl>

prep_arglist: Prepare list of arguments for model_imp()

Description

Usage

Value

Arguments