R Observatory: Metrics for cleanTS version 0.1.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

cleanTS

0.1.2

Testbench for Univariate Time Series Cleaning

0packages depend

3.1Kdownloads / year

0.0%test coverage

13/13checks pass

Overview

About

Maintained by Mayur ShendeFirst published 2021-08-263 releasesCRAN page ↗GitHub ↗

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

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("cleanTS", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("Mayur1009/cleanTS")

Development version from Mayur1009/cleanTS. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-cleants

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-cleanTS

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-cleanTS

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 2.6 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.00

0.0%

Coverage · measured lines

100%

Documentation · exports

12

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 185 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 0%
Documented parameters: 100%
Return-value docs: 86%
References docs: 0%

Downloads

3.1K

CRAN downloads in the past year

Rank #15,726 · ~8/day · ~254/mo

Releases R versions

Daily download trend is not available in this view yet.

15530 days

66690 days

3.1K1 year

Compare downloads with other packages →

Also on109 r2u14 autocran

Repository

GitHub ↗ mayur1009/cleants

11Stars

0Forks

0Open issues

0Open PRs

2Releases

22Commits

1Contributors

License GPL-3.0 · 22 commits · Last activity 2023-09-30

Stars over time

2022-06-15 · 112026-07-07 · 11

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/mayur1009/cleants on 2026-08-16.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

16 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (12)

data.table gganimate ggplot2 ggtext transformr glue imputeTestbench imputeTS lubridate shiny stringr tibble

LinkingTo (0)

none

Suggests (4)

rmarkdown gifski timetk spelling

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)

Maintainer (1)

Mayur Shende

Author, Maintainer

Authors (3)

Mayur Shende

Author, Maintainer

Neeraj Bokde

Author

Andrés E. Feijóo-Lorenzo

Author

Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
0.1.2Latest
2023-07-06 · current release · diff ↗
unarchivedReturned to CRAN
2023-07-06
R
R 4.3.0 released · 2023-04-21
archivedRemoved from CRAN
2023-03-23
requires archived package 'anomalize'
0.1.1
2022-06-15 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.1.0
2021-08-26
R
R 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

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("cleanTS")

Format

Shende, M., Bokde, N., & E. Feijóo-Lorenzo, A. (2023). cleanTS: Testbench for Univariate Time Series Cleaning (Version 0.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.cleanTS

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for cleanTS version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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