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: 2026-10-24 09:30:41 UTC; root
Author: Ying Liu [aut], Tony Wang [aut, cre]
        (<https://orcid.org/0000-0002-6760-5456>)
Maintainer: Tony Wang <xwang@imedacs.com>
Config/pak/sysreqs: jags
Repository: https://cran.r-universe.dev
Date/Publication: 2022-11-18 16:20:02 UTC
RemoteUrl: https://github.com/cran/remiod
RemoteRef: HEAD
RemoteSha: 153c41fa0d1506ff038d99f8b621472424ba5a86