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cleanTS: Testbench for Univariate Time Series Cleaning
A reliable and efficient tool for cleaning univariate time
series data. It implements reliable and efficient procedures for
automating the process of cleaning univariate time series data.
The package provides integration with already developed and deployed
tools for missing value imputation and outlier detection. It also
provides a way of visualizing large time-series data in different
resolutions.
| Version: |
0.1.2 |
| Imports: |
data.table, gganimate, ggplot2, ggtext, transformr, glue, imputeTestbench, imputeTS, lubridate, shiny, stringr, tibble |
| Suggests: |
rmarkdown, gifski (≥ 1.4.3), timetk, spelling |
| Published: |
2023-07-06 |
| Author: |
Mayur Shende 
[aut, cre],
Neeraj Bokde
[aut],
Andrés E. Feijóo-Lorenzo
[aut] |
| Maintainer: |
Mayur Shende <mayur.k.shende at gmail.com> |
| BugReports: |
https://github.com/Mayur1009/cleanTS/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/Mayur1009/cleanTS |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Citation: |
cleanTS citation info |
| Materials: |
README |
| CRAN checks: |
cleanTS results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=cleanTS
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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