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, .


Reference manual

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1.2.2 by Jonathan Rathjens, 5 years ago

Browse source code at

Authors: 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())

Documentation:   PDF Manual  

Task views: Chemometrics and Computational Physics, Robust Statistical Methods

GPL-3 license

Depends on robustbase, quantreg, splines, BB, rgenoud

See at CRAN