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RobPer (version 1.2.3)

Robust Periodogram and Periodicity Detection Methods

Description

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, .

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Version

Install

install.packages('RobPer')

Monthly Downloads

203

Version

1.2.3

License

GPL-3

Last Published

June 12th, 2022

Functions in RobPer (1.2.3)

betaCvMfit

Robust fit of a Beta distribution using CvM distance minimization
FastS

S-Regression using the Fast-S-Algorithm
FastTau

Tau-Regression using the Fast-tau-Algorithm
star_groj0422.32

Data: Light curve from GROJ0422+32
tsgen

Artificial light curve generator
RobPer-package

The RobPer-package
sampler

Generator for irregularly sampled observation times
RobPer

Periodogram based on (robustly) fitting a periodic function to a light curve
signalgen

Generator for periodic signal in a light curve
Mrk421

Data: Light curve from Mrk 421
lc_noise

Noise and measurement accuracy generator for light curves
disturber

Disturbing light curve data
Mrk501

Data: Light curve from Mrk 501
TK95

Power law noise generator
TK95_uneq

Power law noise generator for unequally sampled observation times
Xgen

Designmatrix generator