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imputeMissings  

Impute Missing Values in a Predictive Context
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("imputeMissings", "0.0.4")



Attach the package and use:
library("imputeMissings")
Maintained by
Michel Ballings
[Scholar Profile | Author Map]
First Published: 2015-10-02
Latest Update: 2023-08-18
Description:
Compute missing values on a training data set and impute them on a new data set. Current available options are median/mode and random forest.
How to cite:
Michel Ballings (2015). imputeMissings: Impute Missing Values in a Predictive Context. R package version 0.0.4, https://cran.r-project.org/web/packages/imputeMissings. Accessed 09 May. 2025.
Previous versions and publish date:
0.0.1 (2015-10-02 22:01), 0.0.3 (2016-09-06 10:04)
Other packages that cited imputeMissings R package
View imputeMissings citation profile
Other R packages that imputeMissings depends, imports, suggests or enhances
Complete documentation for imputeMissings
Functions, R codes and Examples using the imputeMissings R package
Some associated functions: compute . impute . 
Some associated R codes: compute.R . impute.R .  Full imputeMissings package functions and examples
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