R package WRS2. A collection of robust statistical methods based on Wilcox’ WRS functions. It implements robust t-tests (independent and dependent samples), robust ANOVA (including between-within subject designs), quantile ANOVA, robust correlation, robust mediation, and nonparametric ANCOVA models based on robust location measures.

References in zbMATH (referenced in 22 articles )

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  1. Vidnerová, Petra; Kalina, Jan; Güney, Yeşim: A comparison of robust model choice criteria within a metalearning study (2020)
  2. Mazoyer, Adrien: Fluctuation analysis on mutation models with birth-date dependence (2018)
  3. Wilcox, Rand R.: Introduction to robust estimation and hypothesis testing (2017)
  4. Mathur, Sunil; Sakate, Deepak M.; Datta, Sujay: A new scale-invariant nonparametric test for two-sample bivariate location problem with application (2016)
  5. Richter, Scott J.; McCann, Melinda H.: Resampling-based simultaneous confidence intervals for location shift using medians (2016)
  6. Schlägel, Ulrike E.; Lewis, Mark A.: Robustness of movement models: can models bridge the gap between temporal scales of data sets and behavioural processes? (2016)
  7. Wilcox, Rand R.: ANCOVA: a heteroscedastic global test when there is curvature and two covariates (2016)
  8. Yuan, Ke-Hai; Chan, Wai; Tian, Yubin: Expectation-robust algorithm and estimating equations for means and dispersion matrix with missing data (2016)
  9. Wilcox, Rand: Comparing the variances of two dependent variables (2015)
  10. Wilcox, Rand R.: Within groups analysis of covariance: multiple comparisons at specified design points using a robust measure location when there is curvature (2015)
  11. Wilcox, Rand R.; Clark, Florence: Heteroscedastic global tests that the regression parameters for two or more independent groups are identical (2015)
  12. Beyaztas, Ufuk; Alin, Aylin; Martin, Michael A.: Robust BCa-JaB method as a diagnostic tool for linear regression models (2014)
  13. Ling, Yan; Nelson, Paul I.: Effect size for comparing two or more normal distributions based on maximal contrasts in outcomes (2014)
  14. Wang, Bin; Shi, Wenzhong; Miao, Zelang: Comparative analysis for robust penalized spline smoothing methods (2014)
  15. Wilcox, Rand R.; Clark, Florence: Comparing robust regression lines associated with two dependent groups when there is heteroscedasticity (2014)
  16. Wilcox, Rand R.; Erceg-Hurn, David M.; Clark, Florence; Carlson, Michael: Comparing two independent groups via the lower and upper quantiles (2014)
  17. Assaad, Houssein I.; Choudhary, Pankaj K.: (L)-statistics for repeated measurements data with application to trimmed means, quantiles and tolerance intervals (2013)
  18. Gao, Shesheng; Zhong, Yongmin; Gu, Chengfan: Random weighting estimation of confidence intervals for quantiles (2013)
  19. Ozdemir, A. F.; Wilcox, Rand R.; Yildiztepe, E.: Comparing measures of location: some small-sample results when distributions differ in skewness and kurtosis under heterogeneity of variances (2013)
  20. Hamon, Agnès; Ycart, Bernard: Statistics for the Luria-Delbrück distribution (2012)

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