MNM

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: http://cran.r-project.org/web/packages)


References in zbMATH (referenced in 13 articles )

Showing results 1 to 13 of 13.
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  1. Zhao, Weihua; Lian, Heng; Ma, Shujie: Robust reduced-rank modeling via rank regression (2017)
  2. Biswas, Munmun; Sarkar, Soham; Ghosh, Anil K.: On some exact distribution-free tests of independence between two random vectors of arbitrary dimensions (2016)
  3. Dürre, Alexander; Vogel, Daniel: Asymptotics of the two-stage spatial sign correlation (2016)
  4. Dürre, Alexander; Vogel, Daniel; Fried, Roland: Spatial sign correlation (2015)
  5. Biswas, Munmun; Ghosh, Anil K.: A nonparametric two-sample test applicable to high dimensional data (2014)
  6. Dürre, Alexander; Vogel, Daniel; Tyler, David E.: The spatial sign covariance matrix with unknown location (2014)
  7. Mazumder, Satyaki; Serfling, Robert: A robust sample spatial outlyingness function (2013)
  8. Jurečková, Jana; Kalina, Jan: Nonparametric multivariate rank tests and their unbiasedness (2012)
  9. Taskinen, Sara; Koch, Inge; Oja, Hannu: Robustifying principal component analysis with spatial sign vectors (2012)
  10. Zou, Changliang; Wang, Zhaojun; Tsung, Fugee: A spatial rank-based multivariate EWMA control chart (2012)
  11. Magyar, Andrew; Tyler, David E.: The asymptotic efficiency of the spatial median for elliptically symmetric distributions (2011)
  12. Croux, C.; Dehon, C.; Yadine, A.: The $k$-step spatial sign covariance matrix (2010)
  13. Oja, Hannu: Multivariate nonparametric methods with R. An approach based on spatial signs and ranks. (2010)