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 DOI: 10.32614/CRAN.package.cleanTS 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.
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