JointAI: Joint Analysis and Imputation of Incomplete Data

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. 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'.

Package details

AuthorNicole S. Erler [aut, cre] (<https://orcid.org/0000-0002-9370-6832>)
MaintainerNicole S. Erler <n.erler@erasmusmc.nl>
LicenseGPL (>= 2)
Version1.0.0
URL https://nerler.github.io/JointAI/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("JointAI")

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JointAI documentation built on Aug. 31, 2020, 5:06 p.m.