missCforest: Ensemble Conditional Trees for Missing Data Imputation

Single imputation based on the Ensemble Conditional Trees (i.e. Cforest algorithm Strobl, C., Boulesteix, A. L., Zeileis, A., & Hothorn, T. (2007) <doi:10.1186/1471-2105-8-25>).

Version: 0.0.8
Depends: partykit
Imports: stats
Suggests: testthat
Published: 2023-01-17
DOI: 10.32614/CRAN.package.missCforest
Author: Imad El Badisy [aut, cre], Roch Giorgi [ctb]
Maintainer: Imad El Badisy <elbadisyimad at gmail.com>
BugReports: https://github.com/ielbadisy/missCforest/issues
License: GPL (≥ 3)
URL: https://github.com/ielbadisy/missCforest
NeedsCompilation: no
Materials: README
CRAN checks: missCforest results


Reference manual: missCforest.pdf


Package source: missCforest_0.0.8.tar.gz
Windows binaries: r-devel: missCforest_0.0.8.zip, r-release: missCforest_0.0.8.zip, r-oldrel: missCforest_0.0.8.zip
macOS binaries: r-release (arm64): missCforest_0.0.8.tgz, r-oldrel (arm64): missCforest_0.0.8.tgz, r-release (x86_64): missCforest_0.0.8.tgz, r-oldrel (x86_64): missCforest_0.0.8.tgz


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