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
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: miceDRF_0.1.0.zip, r-release: miceDRF_0.1.0.zip, r-oldrel: miceDRF_0.1.0.zip
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): miceDRF_0.1.0.tgz

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