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>Identify the general model type from the covariate model type
</p>

<table summary="R argblock"><tr valign="top">
<td><code>model</code></td>
<td>
<p>character string; the covariate model type</p>
</td>
</tr></table>

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

get_modeltype

Description

Usage

Arguments

JointAI

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