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 + fileLICENSE |
| URL: | https://github.com/FarrellDay/miceRanger |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | MissingData |
| CRAN checks: | miceRanger results |
| Reference manual: | miceRanger.html ,miceRanger.pdf |
| Vignettes: | Diagnostic Plotting (source,R code) The MICE Algorithm (source,R code) Filling in Missing Data with miceRanger (source,R code) |
| 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,opImputation |
Please use the canonical formhttps://CRAN.R-project.org/package=miceRangerto link to this page.