JointAI

Joint Analysis and Imputation of Incomplete Data

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. 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'. It also provides summary and plotting functions for the output.

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Description file content

Package
JointAI
Version
0.4.0
Title
Joint Analysis and Imputation of Incomplete Data
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. The package performs some preprocessing of the data and creates a 'JAGS' model, which will then automatically be passed to 'JAGS' with the help of the package 'rjags'. It also provides summary and plotting functions for the output.
URL
License
GPL (>= 2)
Date
2018-12-04
BugReports
https://github.com/nerler/JointAI/issues
LazyData
TRUE
RoxygenNote
6.1.1
Depends
rjags (>= 4-6)
Imports
MASS, mcmcse, coda
SystemRequirements
JAGS (http://mcmc-jags.sourceforge.net)
Suggests
knitr, rmarkdown, foreign, ggplot2, reshape2
VignetteBuilder
knitr
Encoding
UTF-8
Language
en-US
NeedsCompilation
no
Packaged
2018-12-04 09:29:51 UTC; 228015
Author
Nicole S. Erler [aut, cre] ()
Maintainer
Nicole S. Erler
Repository
CRAN
Date/Publication
2018-12-04 10:00:03 UTC

install.packages('JointAI')

0.4.0

5 days ago

https://github.com/nerler/JointAI

Nicole S. Erler

GPL (>= 2)

Depends on

rjags (>= 4-6)

Imports

MASS, mcmcse, coda

Suggests

knitr, rmarkdown, foreign, ggplot2, reshape2

Discussions