Periodogram methods for irregularly sampled time series (especially light curves occurring in astroparticle physics) and periodicity detection methods

Documentation for package ‘RobPer’ version 1.0

RobPer-package	The RobPer-package
betaCvMfit	Robust fit of a Beta distribution using CvM distance minimization
disturber	Disturbing light curve data
FastS	S-Regression using the Fast-S-Algorithm
FastTau	Tau-Regression using the Fast-tau-Algorithm
lc_noise	Noise and measurement accuracy generator for light curves
RobPer	Periodogram based on (robustly) fitting a periodic function to a light curve
sampler	Generator for irregularly sampled observation times
signalgen	Generator for periodic signal in a light curve
TK95	Power law noise generator
TK95_uneq	Power law noise generator for unequally sampled observation times
tsgen	Artificial light curve generator
Xgen	Designmatrix generator