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.

Getting started

Package details

AuthorMayur 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>)
MaintainerMayur Shende <mayur.k.shende@gmail.com>
LicenseGPL (>= 3)
Version0.1.0
URL https://github.com/Mayur1009/cleanTS
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("cleanTS")

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cleanTS documentation built on Sept. 5, 2021, 5:52 p.m.