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: 0.1.0
Imports: anomalize, data.table, gganimate, ggplot2, ggtext, transformr, glue, imputeTestbench, imputeTS, lubridate, shiny, stringr, tibble, tibbletime
Suggests: rmarkdown, gifski (≥ 1.4.3), timetk
Published: 2021-08-26
Author: Mayur Shende ORCID iD [aut, cre], Neeraj Bokde ORCID iD [aut], Andrés E. Feijóo-Lorenzo ORCID iD [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
Materials: README
CRAN checks: cleanTS results

Downloads:

Reference manual: cleanTS.pdf
Package source: cleanTS_0.1.0.tar.gz
Windows binaries: r-devel: cleanTS_0.1.0.zip, r-release: cleanTS_0.1.0.zip, r-oldrel: cleanTS_0.1.0.zip
macOS binaries: r-release (arm64): cleanTS_0.1.0.tgz, r-release (x86_64): cleanTS_0.1.0.tgz, r-oldrel: cleanTS_0.1.0.tgz

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