Imputation with 'mice' and Distributional Random Forests R package miceDRF version 0.1.0 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. Software Imports: drf Suggests: mice, spelling, testthat (>= 3.0.0) Krystyna Grzesiak <krygrz11@gmail.com> Comprehensive R Archive Network (CRAN) Krystyna Grzesiak [aut, cre] (ORCID: <https://orcid.org/0000-0003-2581-7722>), Jeffrey Näf [aut] (ORCID: <https://orcid.org/0000-0003-0920-1899>) GPL-3 2026-06-01 application/tgz https://CRAN.R-project.org/package=miceDRF doi:10.32614/CRAN.package.miceDRF en-US