imputeTestbench: Test Bench for the Comparison of Imputation Methods

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.

Version: 3.0.3
Imports: dplyr, forecast, ggplot2, imputeTS, reshape2, stats, tidyr, zoo
Suggests: knitr, rmarkdown, magrittr
Published: 2019-07-05
DOI: 10.32614/CRAN.package.imputeTestbench
Author: Neeraj Bokde [aut], Marcus W. Beck [cre, aut]
Maintainer: Marcus W. Beck <mbafs2012 at>
License: CC0
NeedsCompilation: no
Citation: imputeTestbench citation info
In views: MissingData, TimeSeries
CRAN checks: imputeTestbench results


Reference manual: imputeTestbench.pdf


Package source: imputeTestbench_3.0.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): imputeTestbench_3.0.3.tgz, r-oldrel (arm64): imputeTestbench_3.0.3.tgz, r-release (x86_64): imputeTestbench_3.0.3.tgz, r-oldrel (x86_64): imputeTestbench_3.0.3.tgz
Old sources: imputeTestbench archive

Reverse dependencies:

Reverse imports: cleanTS, ForecastTB


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