R: Robust Periodogram and Periodicity Detection Methods

# Robust Periodogram and Periodicity Detection Methods

## Documentation for package ‘RobPer’ version 1.2.3

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

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
Mrk421 | Data: Light curve from Mrk 421
Mrk501 | Data: Light curve from Mrk 501
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
star_groj0422.32 | Data: Light curve from GROJ0422+32
TK95 | Power law noise generator
TK95_uneq | Power law noise generator for unequally sampled observation times
tsgen | Artificial light curve generator
Xgen | Designmatrix generator