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-any)miceDRF_0.1.0.zip(r-4.6-any)miceDRF_0.1.0.zip(r-4.5-any)
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✨
DESCRIPTION
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:

4.13 score 1 stars 27 scripts 261 downloads 1 exports 19 dependencies

Last updated from:74223cc082. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK159
source / vignettesOK163
linux-releaseOK144
macos-releaseOK159
macos-oldrelOK150
windows-develOK84
windows-releaseOK86
windows-oldrelOK101
wasm-releaseOK117

Exports:mice.impute.DRF

Dependencies:clidata.tabledrffastDummiesgluelatticelifecyclemagrittrMatrixpillarpkgconfigRcppRcppEigenrlangstringistringrtibbleutf8vctrs