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.
| Version: |
1.0.0 |
| Depends: |
R (≥ 2.10) |
| Imports: |
JointAI, rjags, coda, foreach, data.table, future, doFuture, mathjaxr, survival, ggplot2, ordinal, progressr, Matrix, mcmcse, reshape2 |
| Suggests: |
knitr, rmarkdown, bookdown, ggpubr, testthat (≥ 3.0.0), spelling |
| Published: |
2022-03-14 |
| 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 |
| CRAN checks: |
remiod results |