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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 gmail.com>
BugReports: https://github.com/neerajdhanraj/imputeTestbench/issues
License: CC0
NeedsCompilation: no
Citation: imputeTestbench citation info
In views: MissingData, TimeSeries
CRAN checks: imputeTestbench results

Documentation:

Reference manual: imputeTestbench.pdf

Downloads:

Package source: imputeTestbench_3.0.3.tar.gz
Windows binaries: r-devel: imputeTestbench_3.0.3.zip, r-release: imputeTestbench_3.0.3.zip, r-oldrel: imputeTestbench_3.0.3.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=imputeTestbench to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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