JointAI (0.6.0)

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Joint Analysis and Imputation of Incomplete Data.

Provides joint analysis and imputation of (generalized) 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 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 and allows the user to export imputed values.

Maintainer: Nicole S. Erler
Author(s): Nicole S. Erler [aut, cre] (<>)

License: GPL (>= 2)

Uses: coda, doParallel, foreach, MASS, mcmcse, rjags, rlang, foreign, ggplot2, testthat, knitr, rmarkdown, bookdown, ggpubr
Reverse enhances: mdmb

Released 4 months ago.

7 previous versions



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