Package: miceDRF 0.1.0

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.

Authors:Krystyna Grzesiak [aut, cre], Jeffrey Näf [aut]

miceDRF_0.1.0.tar.gz
miceDRF_0.1.0.zip(r-4.7)miceDRF_0.1.0.zip(r-4.6)miceDRF_0.1.0.zip(r-4.5)
miceDRF_0.1.0.tgz(r-4.6-any)miceDRF_0.1.0.tgz(r-4.5-any)
miceDRF_0.1.0.tar.gz(r-4.7-any)miceDRF_0.1.0.tar.gz(r-4.6-any)
miceDRF_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
miceDRF/json (API)

# Install 'miceDRF' in R:
install.packages('miceDRF', repos = c('https://krystynagrzesiak.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/krystynagrzesiak/micedrf/issues

Pkgdown/docs site:https://krystynagrzesiak.github.io

On CRAN:

Conda:

4.40 score 28 scripts 139 downloads 1 exports 19 dependencies

Last updated from:79edb1ddf5. Checks:8 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK139
source / vignettesOK178
linux-release-x86_64FAIL1433
macos-release-arm64OK106
macos-oldrel-arm64OK128
windows-develOK96
windows-releaseOK83
windows-oldrelOK90
wasm-releaseOK109

Exports:mice.impute.DRF

Dependencies:clidata.tabledrffastDummiesgluelatticelifecyclemagrittrMatrixpillarpkgconfigRcppRcppEigenrlangstringistringrtibbleutf8vctrs