robustbase

R package robustbase: Basic Robust Statistics. ”Essential” Robust Statistics. The goal is to provide tools allowing to analyze data with robust methods. This includes regression methodology including model selections and multivariate statistics where we strive to cover the book ”Robust Statistics, Theory and Methods” by Maronna, Martin and Yohai; Wiley 2006.


References in zbMATH (referenced in 491 articles )

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  1. Andreas Alfons, Nüfer Y. Ateş, Patrick J. F. Groenen: Robust Mediation Analysis: The R Package robmed (2022) arXiv
  2. Bottmer, Lea; Croux, Christophe; Wilms, Ines: Sparse regression for large data sets with outliers (2022)
  3. Feng, Yunlong; Wu, Qiang: A statistical learning assessment of Huber regression (2022)
  4. Mishra, Aditya; Müller, Christian L.: Robust regression with compositional covariates (2022)
  5. Nordhausen, Klaus; Ruiz-Gazen, Anne: On the usage of joint diagonalization in multivariate statistics (2022)
  6. Salini, S.; Laurini, F.; Morelli, G.; Riani, M.; Cerioli, A.: Covariance matrices of S robust regression estimators (2022)
  7. Thompson, Ryan: Robust subset selection (2022)
  8. Werner, Tino: Asymptotic linear expansion of regularized M-estimators (2022)
  9. Zhao, Jun; Yan, Guan’ao; Zhang, Yi: Robust estimation and shrinkage in ultrahigh dimensional expectile regression with heavy tails and variance heterogeneity (2022)
  10. Acitas, Sukru; Filzmoser, Peter; Senoglu, Birdal: A robust adaptive modified maximum likelihood estimator for the linear regression model (2021)
  11. Adrian Richter; Carsten Oliver Schmidt; Markus Krüger; Stephan Struckmann: dataquieR: assessment of data quality in epidemiological research (2021) not zbMATH
  12. Al-Dawsari, Sarah R.; Sultan, Khalaf S.: Modeling of daily confirmed Saudi COVID-19 cases using inverted exponential regression (2021)
  13. Amato, Umberto; Antoniadis, Anestis; De Feis, Italia; Gijbels, Irene: Penalised robust estimators for sparse and high-dimensional linear models (2021)
  14. Arouxet, María B.; Pastor, Verónica E.; Vampa, Victoria: Using the wavelet transform for time series analysis (2021)
  15. Avella-Medina, Marco: Privacy-preserving parametric inference: a case for robust statistics (2021)
  16. Axt, I.; Dürre, Alexander; Fried, Roland: Robust scale estimation under shifts in the mean (2021)
  17. Baesens, Bart; Höppner, Sebastiaan; Ortner, Irene; Verdonck, Tim: RobROSE: a robust approach for dealing with imbalanced data in fraud detection (2021)
  18. Berenguer-Rico, Vanessa; Wilms, Ines: Heteroscedasticity testing after outlier removal (2021)
  19. Bergesio, Andrea; Szretter Noste, María Eugenia; Yohai, Víctor J.: A robust proposal of estimation for the sufficient dimension reduction problem (2021)
  20. Brécheteau, Claire; Fischer, Aurélie; Levrard, Clément: Robust Bregman clustering (2021)

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