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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

Documentation:

Reference manual: missCforest.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=missCforest to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.