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 431 articles )

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  1. Adrian Richter; Carsten Oliver Schmidt; Markus Krüger; Stephan Struckmann: dataquieR: assessment of data quality in epidemiological research (2021) not zbMATH
  2. Fiorentini, Gabriele; Sentana, Enrique: New testing approaches for mean-variance predictability (2021)
  3. Forzani, Liliana; Su, Zhihua: Envelopes for elliptical multivariate linear regression (2021)
  4. Güney, Yeşim; Tuaç, Y.; Özdemir, Ş.; Arslan, O.: Conditional maximum Lq-likelihood estimation for regression model with autoregressive error terms (2021)
  5. Hesamian, Gholamreza; Akbari, Mohammad Ghasem: A robust multiple regression model based on fuzzy random variables (2021)
  6. Ju, Xiaomeng; Salibián-Barrera, Matías: Robust boosting for regression problems (2021)
  7. Kalogridis, Ioannis; Van Aelst, Stefan: (M)-type penalized splines with auxiliary scale estimation (2021)
  8. Langworthy, Benjamin W.; Stephens, Rebecca L.; Gilmore, John H.; Fine, Jason P.: Canonical correlation analysis for elliptical copulas (2021)
  9. Özdemir, Şenay; Arslan, Olcay: Empirical likelihood-MM (EL-MM) estimation for the parameters of a linear regression model (2021)
  10. Poudyal, Chudamani: Truncated, censored, and actuarial payment-type moments for robust fitting of a single-parameter Pareto distribution (2021)
  11. Ramirez-Padron, Ruben; Mederos, Boris; Gonzalez, Avelino J.: Robust weighted Gaussian processes (2021)
  12. Sam Parsons: splithalf: robust estimates of split half reliability (2021) not zbMATH
  13. Tobias Schoch: wbacon: Weighted BACON algorithms for multivariate outlier nomination (detection) and robust linear regression (2021) not zbMATH
  14. Agostinelli, Claudio; Bianco, Ana M.; Boente, Graciela: Robust estimation in single-index models when the errors have a unimodal density with unknown nuisance parameter (2020)
  15. Babos, Stephen; Artemiou, Andreas: Sliced inverse median difference regression (2020)
  16. Bagdonavičius, Vilijandas; Petkevičius, Linas: A new multiple outliers identification method in linear regression (2020)
  17. Beyhum, Jad: Inference robust to outliers with (\ell_1)-norm penalization (2020)
  18. Bianco, Ana M.; Boente, Graciela; González-Manteiga, Wenceslao; Pérez-González, Ana: Robust location estimators in regression models with covariates and responses missing at random (2020)
  19. Bianco, Ana M.; Boente, Graciela; Rodrigues, Isabel M.: Robust Wald-type methods for testing equality between two populations regression parameters: a comparative study under the logistic model (2020)
  20. Boente, Graciela; Rodriguez, Daniela; Vena, Pablo: Robust estimators in a generalized partly linear regression model under monotony constraints (2020)

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