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Multiple Imputation has been shown to be a flexible method to impute missing values by Van Buuren (2007) <doi:10.1177/0962280206074463>. Expanding on this, random forests have been shown to be an accurate model by Stekhoven and Buhlmann <doi:10.48550/arXiv.1105.0828> to impute missing values in datasets. They have the added benefits of returning out of bag error and variable importance estimates, as well as being simple to run in parallel.
Version: | 1.5.0 |
Depends: | R (≥ 3.5.0) |
Imports: | ranger, data.table, stats, FNN, ggplot2, crayon, corrplot, ggpubr, DescTools, foreach |
Suggests: | knitr, rmarkdown, doParallel, testthat (≥ 2.1.0) |
Published: | 2021-09-06 |
DOI: | 10.32614/CRAN.package.miceRanger |
Author: | Sam Wilson [aut, cre] |
Maintainer: | Sam Wilson <samwilson303 at gmail.com> |
BugReports: | https://github.com/FarrellDay/miceRanger/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/FarrellDay/miceRanger |
NeedsCompilation: | no |
Materials: | NEWS |
In views: | MissingData |
CRAN checks: | miceRanger results |
Reference manual: | miceRanger.pdf |
Vignettes: |
Diagnostic Plotting The MICE Algorithm Filling in Missing Data with miceRanger |
Package source: | miceRanger_1.5.0.tar.gz |
Windows binaries: | r-devel: miceRanger_1.5.0.zip, r-release: miceRanger_1.5.0.zip, r-oldrel: miceRanger_1.5.0.zip |
macOS binaries: | r-release (arm64): miceRanger_1.5.0.tgz, r-oldrel (arm64): miceRanger_1.5.0.tgz, r-release (x86_64): miceRanger_1.5.0.tgz, r-oldrel (x86_64): miceRanger_1.5.0.tgz |
Old sources: | miceRanger archive |
Reverse imports: | FuzzyImputationTest |
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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.