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.
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'
<http://mcmc-jags.sourceforge.net/> with the help of
the package 'rjags'.

Joint Analysis and Imputation of Incomplete Data

package-ubuntu-20.04-r-4.0.5#cran#JointAI-1.0.2

<p>Version of <code>all.vars()</code> that can handle lists of formulas
</p>

<table summary="R argblock"><tr valign="top">
<td><code>a</code></td>
<td>
<p>formula or list of formulas</p>
</td>
</tr></table>

package-ubuntu-20.04-r-4.0.5#cran#JointAI-1.0.2#docs#all_vars

all_vars

Description

Usage

Arguments

JointAI

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