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remiod: Reference-Based Multiple Imputation for Ordinal/Binary Response
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.
Getting started
Browse package contents
Package details |
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| Author | Ying Liu [aut], Tony Wang [aut, cre] (<https://orcid.org/0000-0002-6760-5456>) |
| Maintainer | Tony Wang <xwang@imedacs.com> |
| License | GPL (>= 2) |
| Version | 1.0.2 |
| URL | https://github.com/xsswang/remiod |
| Package repository | View on CRAN |
| Installation |
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