get_modeltype

Identify the general model type from the covariate model type

internal

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

get_modeltype function

<dl><dt>model</dt>
<dd>character string; the covariate model type</dd></dl>

Arguments

Identify the general model type from the covariate model type — get_modeltype

<dl>

<dt>model</dt>
<dd>character string; the covariate model type</dd>

</dl>

get_modeltype: Identify the general model type from the covariate model type

Description

Usage

Arguments