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
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:

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