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miceRanger  

Multiple Imputation by Chained Equations with Random Forests
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]
All associated links for this package
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
Previous versions and publish date:
1.1.0 (2020-01-19 17:20), 1.2.0 (2020-01-21 00:40), 1.3.0 (2020-01-29 15:50), 1.3.1 (2020-02-14 13:40), 1.3.4 (2020-02-22 06:50), 1.3.5 (2020-04-03 18:00), 1.4.0 (2021-05-13 19:40)
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