extract_state

Return the current state of a 'JointAI' model

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

extract_state function

<dl><dt>object</dt>
<dd>an object of class 'JointAI'</dd>
<dt>pattern</dt>
<dd>vector of patterns to be matched with the names of the nodes</dd></dl>

Arguments

Return the current state of a 'JointAI' model — extract_state

<dl>

<dt>object</dt>
<dd>an object of class 'JointAI'</dd>


<dt>pattern</dt>
<dd>vector of patterns to be matched with the names of the nodes</dd>

</dl>

extract_state: Return the current state of a 'JointAI' model

Description

Usage

Value

Arguments