cleanTS
0.1.2Testbench for Univariate Time Series Cleaning
Overview
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.
Install
Health
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 0%
- Documented parameters
- 100%
- Return-value docs
- 86%
- References docs
- 0%
Downloads
Repository
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Repository practices
4 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/mayur1009/cleants on 2026-07-19.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.1.2Latest
- unarchivedReturned to CRAN2023-07-06
- RR 4.3.0 released · 2023-04-21
- archivedRemoved from CRAN2023-03-23requires archived package 'anomalize'
- 0.1.12022-06-15 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 0.1.02021-08-26
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2021-08-26
- Total releases
- 3 / 5 yrs
- License
- GPL (>= 3) OSI
- Download size
- 1.3 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet