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.

Documentation

Manual: imputeTestbench.pdf
Vignette: None available.

Maintainer: Marcus W. Beck <mbafs2012 at gmail.com>

Author(s): Neeraj Bokde*, Marcus W. Beck*

Install package and any missing dependencies by running this line in your R console:

install.packages("imputeTestbench")

Depends
Imports dplyr, forecast, ggplot2, imputeTS, reshape2, stats, tidyr, zoo
Suggests knitr, rmarkdown, magrittr
Enhances
Linking to
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imports
PredictTestbench
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Package imputeTestbench
Materials
URL
Task Views
Version 3.0.1
Published 2017-06-23
License CC0
BugReports https://github.com/neerajdhanraj/imputeTestbench/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks imputeTestbench check results
Package source imputeTestbench_3.0.1.tar.gz