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)

Keywords for this software

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References in zbMATH (referenced in 44 articles , 1 standard article )

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  1. Feng, Long; Zhao, Ping; Ding, Yanling; Liu, Binghui: Rank-based tests of cross-sectional dependence in panel data models (2021)
  2. Ma, Xuejun; Wang, Shaochen; Zhou, Wang: Testing multivariate quantile by empirical likelihood (2021)
  3. Daniel Fischer, Karl Mosler, Jyrki Möttönen, Klaus Nordhausen, Oleksii Pokotylo, Daniel Vogel: Computing the Oja Median in R: The Package OjaNP (2020) not zbMATH
  4. del Barrio, Eustasio; González-Sanz, Alberto; Hallin, Marc: A note on the regularity of optimal-transport-based center-outward distribution and quantile functions (2020)
  5. D’Urso, Pierpaolo; De Giovanni, Livia; Massari, Riccardo: Smoothed self-organizing map for robust clustering (2020)
  6. Feng, Long; Zhang, Xiaoxu; Liu, Binghui: Multivariate tests of independence and their application in correlation analysis between financial markets (2020)
  7. Feng, Long; Zhang, Xiaoxu; Liu, Binghui: A high-dimensional spatial rank test for two-sample location problems (2020)
  8. Herwartz, Helmut; Maxand, Simone: Nonparametric tests for independence: a review and comparative simulation study with an application to malnutrition data in India (2020)
  9. Hudecová, Šárka; Klicnarová, Jana; Šiman, Miroslav: Incomplete interdirections and lift-interdirections (2020)
  10. Kim, Ilmun; Balakrishnan, Sivaraman; Wasserman, Larry: Robust multivariate nonparametric tests via projection averaging (2020)
  11. Paindaveine, Davy; Remy, Julien; Verdebout, Thomas: Sign tests for weak principal directions (2020)
  12. Pereira, Alba M. Franco; Lillo, Rosa E.: Rank tests for functional data based on the epigraph, the hypograph and associated graphical representations (2020)
  13. Curry, Jamye; Dang, Xin; Sang, Hailin: A rank-based Cramér-von-Mises-type test for two samples (2019)
  14. Dang, Xin; Sang, Hailin; Weatherall, Lauren: Gini covariance matrix and its affine equivariant version (2019)
  15. Shirke, Digambar Tukaram; Chavan, Atul Rajaram: Multivariate multi-sample tests for location based on data depth (2019)
  16. Yu, Long; He, Yong; Zhang, Xinsheng: Robust factor number specification for large-dimensional elliptical factor model (2019)
  17. Chen, Hui; Wang, Zhaojun; Zi, Xuemin: Two-sample spatial rank test using projection (2018)
  18. Han, Fang; Liu, Han: ECA: high-dimensional elliptical component analysis in non-Gaussian distributions (2018)
  19. Huwang, Longcheen; Lin, Jian-Chi; Lin, Li-Wei: A spatial rank-based EWMA chart for monitoring linear profiles (2018)
  20. Leung, Dennis; Drton, Mathias: Testing independence in high dimensions with sums of rank correlations (2018)

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