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>.
| Version: |
1.2.3 |
| Depends: |
robustbase, quantreg, splines, BB, rgenoud |
| Published: |
2022-06-12 |
| Author: |
Anita M. Thieler [aut],
Jonathan Rathjens [aut, cre],
Roland Fried [aut],
Brenton R. Clarke [ctb] (function betaCvMfit()),
Uwe Ligges [ctb] (function TK95()),
Matias Salibian-Barrera [ctb] (functions FastS() and FastTau()),
Gert Willems [ctb] (function FastTau()),
Victor Yohai [ctb] (function FastS()) |
| Maintainer: |
Jonathan Rathjens <jonathan.rathjens at tu-dortmund.de> |
| License: |
GPL-3 |
| Copyright: |
The data in star_groj0422.32 have been kindly provided by
the NASA. The data in Mrk421 and Mrk501 have been kindly
provided by the Deutsches Elektronen-Synchrotron. See the
respective documentation. |
| NeedsCompilation: |
no |
| Citation: |
RobPer citation info |
| In views: |
ChemPhys, Robust |
| CRAN checks: |
RobPer results |
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