all_vars

Version of <code><a href="/link/all.vars()?package=JointAI&version=1.0.6" data-mini-rdoc="JointAI::all.vars()">all.vars()</a></code> that can handle lists of 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 Erler

JointAI

Joint Analysis and Imputation of Incomplete Data

Nicole S. Erler

all_vars function

<dl><dt>fmla</dt>
<dd>a formula or list of formulas</dd></dl>

Arguments

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

Extract names of variables from a (list of) formula(s) — all_vars

<dl>

<dt>fmla</dt>
<dd>a formula or list of formulas</dd>

</dl>

all_vars: Extract names of variables from a (list of) formula(s)

Description

Usage

Arguments