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miceRanger
View on CRAN: Click
here
Download and install miceRanger package within the R console
Install from CRAN:
install.packages("miceRanger")
Install from Github:
library("remotes")
install_github("cran/miceRanger")
Install by package version:
library("remotes")
install_version("miceRanger", "1.5.0")
Attach the package and use:
library("miceRanger")
Maintained by
Sam Wilson
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.miceRanger . https://github.com/FarrellDay/miceRanger/issues . https://github.com/FarrellDay/miceRanger . miceRanger results . miceRanger.pdf . Filling in Missing Data with miceRanger . miceRanger_1.5.0.tar.gz . miceRanger_1.5.0.zip . miceRanger_1.5.0.zip . miceRanger_1.5.0.zip . miceRanger_1.5.0.tgz . miceRanger_1.5.0.tgz . miceRanger_1.5.0.tgz . miceRanger_1.5.0.tgz . miceRanger_1.5.0.tgz . miceRanger_1.5.0.tgz . miceRanger archive . https://CRAN.R-project.org/package=miceRanger .
First Published: 2020-01-19
Latest Update: 2021-09-06
Description:
Multiple Imputation has been shown to
be a flexible method to impute missing values by
Van Buuren (2007) .
Expanding on this, random forests have been shown
to be an accurate model by Stekhoven and Buhlmann
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.
How to cite:
Sam Wilson (2020). miceRanger: Multiple Imputation by Chained Equations with Random Forests. R package version 1.5.0, https://cran.r-project.org/web/packages/miceRanger. Accessed 05 Apr. 2025.
Previous versions and publish date:
Other packages that cited miceRanger R package
View miceRanger citation profile
Other R packages that miceRanger depends,
imports, suggests or enhances
Complete documentation for miceRanger
Functions, R codes and Examples using
the miceRanger R package
Some associated functions: addDatasets . addIterations . amputeData . completeData . getVarImps . impute . miceRanger . plotCorrelations . plotDistributions . plotImputationVariance . plotModelError . plotVarConvergence . plotVarImportance . print . sampleMiceDefs .
Some associated R codes: addDatasets.R . addIterations.R . amputeData.R . completeData.R . getCorrMetric.R . getVarImps.R . impute.R . imputeFromPred.R . miceRanger.R . plotCorrelations.R . plotDistributions.R . plotImputationVariance.R . plotModelError.R . plotVarConvergence.R . plotVarImportance.R . print.R . runIterations.R . sampleMiceDefs.R . smallFuncs.R . Full miceRanger package functions and examples
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