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>Remove the left hand side of a (list of) formula(s)
</p>

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

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

remove_lhs

Description

Usage

Arguments

JointAI

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