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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 |
| Reference manual: | imputeTestbench.pdf |
| 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 imports: | cleanTS, ForecastTB |
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.