all_vars

Version of <code><a href="/link/all.vars()?package=JointAI&version=1.1.0" data-mini-rdoc="JointAI::all.vars()">all.vars()</a></code> that can handle <code>formula</code>s, <code>lists</code> of <code>formulas</code> and
character strings.

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

all_vars function

<dl><dt>...</dt>
<dd><code>formula</code> objects, lists of formulas or character strings that are
valid variable names (in the sense of <code>make.vars()</code>)</dd></dl>

Arguments

Version of <code><a href='https://rdrr.io/r/base/allnames.html'>all.vars()</a></code> that can handle <code>formula</code>s, <code>lists</code> of <code>formulas</code> and
character strings.

Extract names of variables from several objects — all_vars

<dl>

<dt>...</dt>
<dd><code>formula</code> objects, lists of formulas or character strings that are
valid variable names (in the sense of <code>make.vars()</code>)</dd>

</dl>

all_vars: Extract names of variables from several objects

Description

Usage

Arguments