plot.JointAI

Plot an object object inheriting from class 'JointAI'

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

plot.JointAI function

<dl><dt>x</dt>
<dd>object inheriting from class 'JointAI'</dd>
<dt>...</dt>
<dd>currently not used</dd></dl>

Arguments

Plot an object object inheriting from class 'JointAI' — plot.JointAI

<dl>

<dt>x</dt>
<dd>object inheriting from class 'JointAI'</dd>


<dt>...</dt>
<dd>currently not used</dd>

</dl>

plot.JointAI: Plot an object object inheriting from class 'JointAI'

Description

Usage

Arguments

Examples