Title: Joint Analysis and Imputation of Incomplete Data
Maintainer: Nicole S. Erler <n.erler@erasmusmc.nl>
Description: Provides joint analysis and imputation of linear regression models,
generalized linear regression models or linear mixed models with incomplete
(covariate) data in the Bayesian framework.
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
It also provides summary and plotting functions for the output.
Suggests: knitr, rmarkdown, mice, foreign

Authors@R: person("Nicole S.", "Erler", email = "n.erler@erasmusmc.nl",

Authors@R: c(person("Nicole S.", "Erler", email = "n.erler@erasmusmc.nl",
Suggests: knitr, rmarkdown, foreign, ggplot2, reshape2
Author: Nicole S. Erler [aut, cre] (<https://orcid.org/0000-0002-9370-6832>)

Description: Provides joint analysis and imputation of (generalized)
linear regression models, (generalized) linear mixed models and parametric
survival models with incomplete (covariate) data in the Bayesian framework.

linear and cumulative logit regression models, (generalized) linear and
cumulative logit mixed models and parametric (Weibull) as well as Cox
proportional hazards survival models with incomplete (covariate) data in
It also provides summary and plotting functions for the output and allows
Imports: MASS, mcmcse, coda, rlang, foreach, doParallel
Suggests: knitr, rmarkdown, foreign, ggplot2, ggpubr, testthat

Suggests: knitr, rmarkdown, bookdown, foreign, ggplot2, ggpubr,

Description: 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.
<http://mcmc-jags.sourceforge.net/> with the help of
Imports: rjags, mcmcse, coda, rlang, future, foreach, mathjaxr,

survival models, or joint models for longitudinal and survival data, as
described in Erler, Rizopoulos and Lesaffre (2021) <doi:10.18637/jss.v100.i20>.
<https://mcmc-jags.sourceforge.io/> with the help of