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miceDRF: Imputation with 'mice' and Distributional Random Forests

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 ORCID iD [aut, cre], Jeffrey Näf ORCID iD [aut]
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

Documentation:

Reference manual: miceDRF.html , miceDRF.pdf

Downloads:

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

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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