MNM

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


References in zbMATH (referenced in 58 articles , 1 standard article )

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  1. Chen, Hui; Zou, Chang Liang; Li, Run Ze: Projection-based high-dimensional sign test (2022)
  2. Guha, Pritha; Chakraborty, Biman: On a scale-scale plot for comparing multivariate distributions (2022)
  3. Harrar, Solomon W.; Kong, Xiaoli: Recent developments in high-dimensional inference for multivariate data: parametric, semiparametric and nonparametric approaches (2022)
  4. Hudecová, Šárka; Šiman, Miroslav: Multivariate ranks based on randomized lift-interdirections (2022)
  5. Li, Weiming; Xu, Yangchang: Asymptotic properties of high-dimensional spatial median in elliptical distributions with application (2022)
  6. Majumdar, Subhabrata; Chatterjee, Snigdhansu: On weighted multivariate sign functions (2022)
  7. Nordhausen, Klaus; Ruiz-Gazen, Anne: On the usage of joint diagonalization in multivariate statistics (2022)
  8. Paindaveine, Davy: On the measure of anchored Gaussian simplices, with applications to multivariate medians (2022)
  9. Paul, Biplab; De, Shyamal K.; Ghosh, Anil K.: Some clustering-based exact distribution-free (k)-sample tests applicable to high dimension, low sample size data (2022)
  10. Shu, Lei; Chen, Yu; Zhang, Weiping; Wang, Xueqin: Spatial rank-based high-dimensional change point detection via random integration (2022)
  11. Xu, Kai; Zhu, Liping: Power analysis of projection-pursuit independence tests (2022)
  12. Cabana, Elisa; Lillo, Rosa E.; Laniado, Henry: Multivariate outlier detection based on a robust Mahalanobis distance with shrinkage estimators (2021)
  13. Feng, Long; Zhao, Ping; Ding, Yanling; Liu, Binghui: Rank-based tests of cross-sectional dependence in panel data models (2021)
  14. Hallin, Marc; del Barrio, Eustasio; Cuesta-Albertos, Juan; Matrán, Carlos: Distribution and quantile functions, ranks and signs in dimension (d): a measure transportation approach (2021)
  15. Kalina, Jan: Common multivariate estimators of location and scatter capture the symmetry of the underlying distribution (2021)
  16. Ma, Xuejun; Wang, Shaochen; Zhou, Wang: Testing multivariate quantile by empirical likelihood (2021)
  17. Daniel Fischer, Karl Mosler, Jyrki Möttönen, Klaus Nordhausen, Oleksii Pokotylo, Daniel Vogel: Computing the Oja Median in R: The Package OjaNP (2020) not zbMATH
  18. del Barrio, Eustasio; González-Sanz, Alberto; Hallin, Marc: A note on the regularity of optimal-transport-based center-outward distribution and quantile functions (2020)
  19. D’Urso, Pierpaolo; De Giovanni, Livia; Massari, Riccardo: Smoothed self-organizing map for robust clustering (2020)
  20. Feng, Long; Zhang, Xiaoxu; Liu, Binghui: A high-dimensional spatial rank test for two-sample location problems (2020)

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