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cleanTS
View on CRAN: Click
here
Download and install cleanTS package within the R console
Install from CRAN:
install.packages("cleanTS")
Install from Github:
library("remotes")
install_github("cran/cleanTS") Install by package version:
library("remotes")
install_version("cleanTS", "0.1.2") Attach the package and use:
library("cleanTS")
Maintained by
Mayur Shende
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-08-26
Latest Update: 2023-07-06
Description:
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.
How to cite:
Mayur Shende (2021). cleanTS: Testbench for Univariate Time Series Cleaning. R package version 0.1.2, https://cran.r-project.org/web/packages/cleanTS. Accessed 28 Aug. 2026.
Previous versions and publish date:
Other packages that cited cleanTS R package
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Other R packages that cleanTS depends,
imports, suggests or enhances
Complete documentation for cleanTS
Functions, R codes and Examples using
the cleanTS R package
Some associated functions: animate_interval . check_input . cleanTS . detect_outliers . duplicate_timestamps . find_dif . gen.animation . gen.report . impute . interact_plot . mergecsv . missing_timestamps . print.cleanTS . reexports .
Some associated R codes: animate_interval.R . check_input.R . cleanTS.R . duplicate_timestamps.R . gen_report.R . interact_plot.R . mergecsv.R . missing_timestamps.R . missing_values.R . outlier_detection.R . util.R . Full cleanTS package functions and examples
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