This package is the implementation of popular robust mixture regression methods based on different algorithms including: fleximix, finite mixture models and latent class regression; CTLERob, component-wise adaptive trimming likelihood estimation; mixbi, bi-square estimation; mixL, Laplacian distribution; mixt, t-distribution; TLE, trimmed likelihood estimation.
The implemented algorithms includes:  CTLERob stands for Component-wise adaptive Trimming Likelihood Estimation based mixture regression; mixbi stands for mixture regression based on bi-square estimation; mixLstands for mixture regression based on Laplacian distribution; TLE stands for Trimmed Likelihood Estimation based mixture regression. For more detail of the algorithms, please refer to below references.
Imports: flexmix, robustbase, gtools, MASS, methods,robust

Wennan Chang, Xinyu Zhou, Yong Zang, Chi Zhang, Sha Cao (2020) <arXiv:2005.11599>.

Imports: flexmix, robustbase, gtools, MASS,

Title: Periodogram methods for irregularly sampled time series
(especially light curves occurring in astroparticle physics)
Author: Anita M. Thieler, Jonathan Rathjens and Roland Fried, with contributions from Brenton R. Clarke, Uwe Ligges, Matias Salibian-Barrera, Gert Willems and Victor Yohai
Maintainer: Anita M. Thieler <anita.thieler@tu-dortmund.de>
Depends: robustbase, quantreg, splines, BB, rgenoud
Description: Package to calculate periodograms based on (robustly) fitting periodic functions to light curves (irregularly observed time series, possibly with measurement accuracies). 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 TRSFB876.

Title: Robust periodogram methods for irregularly sampled time series
and robust periodicity detection methods
Description: Package to calculate 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 Thieler, Fried and Rathjens (2013).
Packaged: 2014-06-24 09:35:19 UTC; jrathjens