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RobPer

1.2.3

Robust Periodogram and Periodicity Detection Methods

1packages depend
2.9Kdownloads / year
80.7%test coverage
0/13checks pass

Overview

About
Maintained by Jonathan RathjensFirst published 2013-10-016 releasesCRAN page ↗

Calculates periodograms based on (robustly) fitting periodic functions to light curves (irregularly observed time series, possibly with measurement accuracies, occurring in astroparticle physics). Three main functions are included: RobPer() calculates the periodogram. Outlying periodogram bars (indicating a period) can be detected with betaCvMfit(). Artificial light curves can be generated using the function tsgen(). For more details see the corresponding article: Thieler, Fried and Rathjens (2016), Journal of Statistical Software 69(9), 1-36, doi:10.18637/jss.v069.i09.

Install

Health

CRAN checks
13NOTE
Failing flavors
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Slowest check: 3.8 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.07
80.7%
Coverage · measured lines
83%
Documentation · exports
5
Dependencies · direct
Check history
  • NOTE2026-03-10
    0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
89%
Return-value docs
100%
References docs
87%

Downloads

2.9K
CRAN downloads in the past year
Rank #13,491 · ~8/day · ~244/mo
Daily download trend is not available in this view yet.
19530 days
75190 days
2.9K1 year
Compare downloads with other packages →
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Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)
Depends (5)
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

Datasets

People & History

People (8)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Contributors (5)
Contributor · added in 1.2.2
Contributor
Contributor
Contributor
Listed in earlier versions (1)
no longer listed · 1.0 to 1.2.1
Package Timeline

6 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
  • R
    R 4.3.0 released · 2023-04-21
  • 1.2.3Latest
    2022-06-12 · current release · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 1.2.2
    2016-03-27 · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
  • 1.2.1
    2015-03-02 · diff ↗
  • 1.2
    2014-10-03 · diff ↗
Show 4 earlier events
  • 1.1
    2014-06-24 · diff ↗
  • R
    R 3.1.0 released · 2014-04-10
  • 1.0
    2013-10-01
  • R
    R 3.0.0 released · 2013-04-03

Package metadata

First published
2013-10-01
Total releases
6 / 13 yrs
License
GPL-3 OSI
Bundled data
26 KB / 3 files
Download size
695 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RobPer")
Rathjens, J., Clarke, B. R., Fried, R., Ligges, U., Salibian-Barrera, M., Thieler, A. M., Willems, G., & Yohai, V. (2022). RobPer: Robust Periodogram and Periodicity Detection Methods (Version 1.2.3) [Computer software]. https://doi.org/10.32614/CRAN.package.RobPer

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for RobPer version 1.2.3 [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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