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missRanger  

Fast Imputation of Missing Values
View on CRAN: Click here


Download and install missRanger package within the R console
Install from CRAN:
install.packages("missRanger")

Install from Github:
library("remotes")
install_github("cran/missRanger")

Install by package version:
library("remotes")
install_version("missRanger", "2.6.1")



Attach the package and use:
library("missRanger")
Maintained by
Michael Mayer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-08-25
Latest Update: 2024-12-07
Description:
Alternative implementation of the beautiful 'MissForest' algorithm used to impute mixed-type data sets by chaining random forests, introduced by Stekhoven, D.J. and Buehlmann, P. (2012) . Under the hood, it uses the lightning fast random jungle package 'ranger'. Between the iterative model fitting, we offer the option of using predictive mean matching. This firstly avoids imputation with values not already present in the original data (like a value 0.3334 in 0-1 coded variable). Secondly, predictive mean matching tries to raise the variance in the resulting conditional distributions to a realistic level. This would allow e.g. to do multiple imputation when repeating the call to missRanger(). A formula interface allows to control which variables should be imputed by which.
How to cite:
Michael Mayer (2017). missRanger: Fast Imputation of Missing Values. R package version 2.6.1, https://cran.r-project.org/web/packages/missRanger. Accessed 05 Mar. 2026.
Previous versions and publish date:
1.0.0 (2017-08-25 15:04), 1.0.1 (2018-03-22 09:40), 1.0.2 (2018-04-23 12:23), 1.0.3 (2018-05-15 20:40), 1.0.4 (2019-01-08 00:40), 1.0.5 (2019-06-09 11:20), 2.1.0 (2019-06-30 23:10), 2.1.1 (2021-03-20 21:40), 2.1.3 (2021-03-30 08:50), 2.2.0 (2023-03-24 21:10), 2.2.1 (2023-04-28 17:20), 2.3.0 (2023-10-20 20:20), 2.4.0 (2023-11-19 10:30), 2.5.0 (2024-07-12 21:40), 2.6.0 (2024-08-17 17:50)
Other packages that cited missRanger R package
View missRanger citation profile
Other R packages that missRanger depends, imports, suggests or enhances
Complete documentation for missRanger
Functions, R codes and Examples using the missRanger R package
Some associated functions: generateNA . imputeUnivariate . missRanger . pmm . print.missRanger . summary.missRanger . 
Some associated R codes: generateNA.R . imputeUnivariate.R . methods.R . missRanger.R . pmm.R .  Full missRanger package functions and examples
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