Provides a custom imputation method for the 'mice' package based on distributional random forests. The package implements the 'mice.impute.DRF' method, which can be used within the standard 'mice' workflow. Missing values are imputed by estimating conditional distributions with distributional random forests and sampling observed responses using forest weights.
| Version: | 0.1.0 |
| Imports: | drf |
| Suggests: | mice, spelling, testthat (≥ 3.0.0) |
| Published: | 2026-06-01 |
| DOI: | 10.32614/CRAN.package.miceDRF (may not be active yet) |
| Author: | Krystyna Grzesiak |
| Maintainer: | Krystyna Grzesiak <krygrz11 at gmail.com> |
| BugReports: | https://github.com/KrystynaGrzesiak/miceDRF/issues |
| License: | GPL-3 |
| URL: | https://github.com/KrystynaGrzesiak/miceDRF, https://krystynagrzesiak.github.io/miceDRF/ |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README |
| CRAN checks: | miceDRF results |
| Reference manual: | miceDRF.html , miceDRF.pdf |
| Package source: | miceDRF_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): miceDRF_0.1.0.tgz, r-oldrel (arm64): miceDRF_0.1.0.tgz, r-release (x86_64): miceDRF_0.1.0.tgz, r-oldrel (x86_64): not available |
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