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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.
Package details |
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Author | Mayur Shende [aut, cre] (<https://orcid.org/0000-0002-1738-2573>), Neeraj Bokde [aut] (<https://orcid.org/0000-0002-3493-9302>), Andrés E. Feijóo-Lorenzo [aut] (<https://orcid.org/0000-0003-3172-7037>) |
Maintainer | Mayur Shende <mayur.k.shende@gmail.com> |
License | GPL (>= 3) |
Version | 0.1.2 |
URL | https://github.com/Mayur1009/cleanTS |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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