Package: RobPer 1.2.3

Jonathan Rathjens

RobPer: Robust Periodogram and Periodicity Detection Methods

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>.

Authors:Anita M. Thieler [aut], Jonathan Rathjens [aut, cre], Roland Fried [aut], Brenton R. Clarke [ctb], Uwe Ligges [ctb], Matias Salibian-Barrera [ctb], Gert Willems [ctb], Victor Yohai [ctb]

RobPer_1.2.3.tar.gz
RobPer_1.2.3.tar.gz(r-4.5-noble)RobPer_1.2.3.tar.gz(r-4.4-noble)
RobPer_1.2.3.tgz(r-4.4-emscripten)RobPer_1.2.3.tgz(r-4.3-emscripten)
RobPer.pdf |RobPer.html✨
RobPer/json (API)

# Install 'RobPer' in R:
install.packages('RobPer', repos = 'https://cloud.r-project.org')
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.95 score 3 stars 1 packages 216 downloads 12 exports 12 dependencies

Last updated 3 years agofrom:7c8b1298da. Checks:1 OK, 2 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 20 2025
R-4.5-linuxNOTEMar 20 2025
R-4.4-linuxNOTEMar 20 2025

Exports:betaCvMfitdisturberFastSFastTaulc_noiseRobPersamplersignalgenTK95TK95_uneqtsgenXgen

Dependencies:BBDEoptimRlatticeMASSMatrixMatrixModelsquadprogquantregrgenoudrobustbaseSparseMsurvival

RobPer_vignette

Rendered fromRobPer_vignette.Rnwusingutils::Sweaveon Mar 20 2025.

Last update: 2016-03-27
Started: 2016-03-27

Citation

To cite RobPer in publications use:

Anita M. Thieler, Roland Fried, Jonathan Rathjens (2016). RobPer: An R Package to Calculate Periodograms for Light Curves Based on Robust Regression. Journal of Statistical Software, 69(9), 1-36.<doi:10.18637/jss.v069.i09>

Corresponding BibTeX entry: 

  @Article{,
    title = {{RobPer}: An {R} Package to Calculate Periodograms for
      Light Curves Based on Robust Regression},
    author = {Anita M. Thieler and Roland Fried and Jonathan Rathjens},
    journal = {Journal of Statistical Software},
    year = {2016},
    volume = {69},
    number = {9},
    pages = {1--36},
    doi = {10.18637/jss.v069.i09},
  }