R package MNM: Multivariate Nonparametric Methods. An Approach Based on Spatial Signs and Ranks , The package provides multivariate tests, estimates and methods based on the identity score, spatial sign score and spatial rank score. The methods include one and c-sample problems, shape estimation and testing, linear regression and principal components. (Source:

References in zbMATH (referenced in 25 articles , 1 standard article )

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  1. Han, Fang; Liu, Han: ECA: high-dimensional elliptical component analysis in non-Gaussian distributions (2018)
  2. Leung, Dennis; Drton, Mathias: Testing independence in high dimensions with sums of rank correlations (2018)
  3. Wang, Shanshan; Serfling, Robert: On masking and swamping robustness of leading nonparametric outlier identifiers for multivariate data (2018)
  4. Saha, Enakshi; Sarkar, Soham; Ghosh, Anil K.: Some high-dimensional one-sample tests based on functions of interpoint distances (2017)
  5. Serfling, Robert; Wijesuriya, Uditha: Depth-based nonparametric description of functional data, with emphasis on use of spatial depth (2017)
  6. Zhao, Weihua; Lian, Heng; Ma, Shujie: Robust reduced-rank modeling via rank regression (2017)
  7. Biswas, Munmun; Sarkar, Soham; Ghosh, Anil K.: On some exact distribution-free tests of independence between two random vectors of arbitrary dimensions (2016)
  8. Dürre, Alexander; Vogel, Daniel: Asymptotics of the two-stage spatial sign correlation (2016)
  9. McKean, Joseph W.; Hettmansperger, Thomas P.: Rank-based analysis of linear models and beyond: a review (2016)
  10. Paindaveine, Davy; Verdebout, Thomas: On high-dimensional sign tests (2016)
  11. Dang, Utkarsh J.; Browne, Ryan P.; McNicholas, Paul D.: Mixtures of multivariate power exponential distributions (2015)
  12. Dürre, Alexander; Vogel, Daniel; Fried, Roland: Spatial sign correlation (2015)
  13. Biswas, Munmun; Ghosh, Anil K.: A nonparametric two-sample test applicable to high dimensional data (2014)
  14. Dürre, Alexander; Vogel, Daniel; Tyler, David E.: The spatial sign covariance matrix with unknown location (2014)
  15. Han, Fang; Liu, Han: Scale-invariant sparse PCA on high-dimensional meta-elliptical data (2014)
  16. Mazumder, Satyaki; Serfling, Robert: A robust sample spatial outlyingness function (2013)
  17. Jurečková, Jana; Kalina, Jan: Nonparametric multivariate rank tests and their unbiasedness (2012)
  18. Lemponen, Riina; Larocque, Denis; Nevalainen, Jaakko; Oja, Hannu: Weighted rank tests and Hodges-Lehmann estimates for the multivariate two-sample location problem with clustered data (2012)
  19. Taskinen, Sara; Koch, Inge; Oja, Hannu: Robustifying principal component analysis with spatial sign vectors (2012)
  20. Zou, Changliang; Wang, Zhaojun; Tsung, Fugee: A spatial rank-based multivariate EWMA control chart (2012)

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