Package: remiod
Type: Package
Title: Reference-Based Multiple Imputation for Ordinal/Binary Response
Version: 1.0.2
Authors@R: c(person("Ying", "Liu", role = c("aut")),
             person("Tony", "Wang", email="xwang@imedacs.com", role = c("aut", "cre"),
                comment = c(ORCID="0000-0002-6760-5456")))
Description: 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.
License: GPL (>= 2)
URL: https://github.com/xsswang/remiod
RoxygenNote: 7.2.2
LazyData: true
Imports: JointAI, rjags, coda, foreach, data.table, future, doFuture,
        mathjaxr, survival, ggplot2, ordinal, progressr, Matrix, mcmcse
SystemRequirements: JAGS (http://mcmc-jags.sourceforge.net/)
Suggests: knitr, rmarkdown, bookdown, R.rsp, ggpubr, testthat (>=
        3.0.0), spelling
VignetteBuilder: knitr, R.rsp
Encoding: UTF-8
Config/testthat/edition: 3
Language: en-US
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-11-18 16:53:50 UTC; iMED
Author: Ying Liu [aut],
  Tony Wang [aut, cre] (<https://orcid.org/0000-0002-6760-5456>)
Maintainer: Tony Wang <xwang@imedacs.com>
Repository: CRAN
Date/Publication: 2022-11-18 17:20:02 UTC
Built: R 4.6.0; ; 2026-04-28 20:46:51 UTC; unix
