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imputeTestbench  

Test Bench for the Comparison of Imputation Methods
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("imputeTestbench", "3.0.3")



Attach the package and use:
library("imputeTestbench")
Maintained by
Marcus W. Beck
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-04-17
Latest Update: 2019-07-05
Description:
Provides a test bench for the comparison of missing data imputation methods in uni-variate time series. Imputation methods are compared using different error metrics. Proposed imputation methods and alternative error metrics can be used.
How to cite:
Marcus W. Beck (2016). imputeTestbench: Test Bench for the Comparison of Imputation Methods. R package version 3.0.3, https://cran.r-project.org/web/packages/imputeTestbench. Accessed 06 Jun. 2026.
Previous versions and publish date:
0.1.0 (2016-04-17 20:11), 1.1.0 (2016-04-21 15:51), 1.2.0 (2016-06-19 16:41), 2.0.2 (2016-07-28 17:28), 3.0.0 (2016-11-03 11:06), 3.0.1 (2017-06-23 11:14), 3.0.2 (2019-04-04 18:10)
Other packages that cited imputeTestbench R package
View imputeTestbench citation profile
Other R packages that imputeTestbench depends, imports, suggests or enhances
Complete documentation for imputeTestbench
Functions, R codes and Examples using the imputeTestbench R package
Some associated functions: impute_errors . mae . mape . plot_errors . plot_impute . print.errprof . rmse . sample_dat . 
Some associated R codes: error_functions.R . globalVariables.R . impute_errors.R . plot_errors.R . plot_impute.R . print.errprof.R . sample_dat.R .  Full imputeTestbench package functions and examples
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