Reference-Based Multiple Imputation for Ordinal/Binary Response R package remiod version 1.0.2 CRAN Task View: ClinicalTrials (https://CRAN.R-project.org/view=ClinicalTrials) Reference-based multiple imputation of ordinal and binary responses under Bayesian framework, as described in Wang and Liu (2022) <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. Software 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 Tony Wang <xwang@imedacs.com> Comprehensive R Archive Network (CRAN) Ying Liu [aut], Tony Wang [aut, cre] (ORCID: <https://orcid.org/0000-0002-6760-5456>) GPL (>= 2) 2022-11-18 application/tgz https://CRAN.R-project.org/package=remiod doi:10.32614/CRAN.package.remiod en-US