Reference-based multiple imputation of ordinal and binary responses under Bayesian framework, as described in Wang and Liu (2022) <doi:10.48550/arXiv.2203.02771>. Methods for missing-not-at-random include Jump-to-Reference (J2R), Copy Reference (CR), and Delta Adjustment which can generate tipping point analysis.
Version: 1.0.2 Depends: R (≥ 2.10) Imports: JointAI, rjags, coda, foreach, data.table, future, doFuture, mathjaxr, survival, ggplot2, ordinal, progressr, Matrix, mcmcse Suggests: knitr, rmarkdown, bookdown, R.rsp, ggpubr, testthat (≥ 3.0.0), spelling Published: 2022-11-18 DOI: 10.32614/CRAN.package.remiod Author: Ying Liu [aut], Tony Wang [aut, cre] Maintainer: Tony Wang <xwang at imedacs.com> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/xsswang/remiod NeedsCompilation: no SystemRequirements: JAGS (http://mcmc-jags.sourceforge.net/) Language: en-US Materials: README, NEWS CRAN checks: remiod resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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