merge_call_args

Merge call arguments with default formals

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

merge_call_args function

<dl><dt>formals</dt>
<dd>List of formal arguments for <code>*_imp()</code>.</dd>
<dt>call</dt>
<dd>The matched call from <code>*_imp()</code> 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>The environment within <code>*_imp()</code>
(obtained from <code>sys.frame(sys.nframe())</code>)</dd></dl>

Arguments

Merge call arguments with default formals — merge_call_args

<dl>

<dt>formals</dt>
<dd>List of formal arguments for <code>*_imp()</code>.</dd>


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


<dt>sframe</dt>
<dd>The environment within <code>*_imp()</code>
(obtained from <code>sys.frame(sys.nframe())</code>)</dd>

</dl>

merge_call_args: Merge call arguments with default formals

Description

Usage

Value

Arguments