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 39 articles , 1 standard article )

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  1. Daniel Fischer, Karl Mosler, Jyrki Möttönen, Klaus Nordhausen, Oleksii Pokotylo, Daniel Vogel: Computing the Oja Median in R: The Package OjaNP (2020) not zbMATH
  2. del Barrio, Eustasio; González-Sanz, Alberto; Hallin, Marc: A note on the regularity of optimal-transport-based center-outward distribution and quantile functions (2020)
  3. Feng, Long; Zhang, Xiaoxu; Liu, Binghui: Multivariate tests of independence and their application in correlation analysis between financial markets (2020)
  4. Feng, Long; Zhang, Xiaoxu; Liu, Binghui: A high-dimensional spatial rank test for two-sample location problems (2020)
  5. Herwartz, Helmut; Maxand, Simone: Nonparametric tests for independence: a review and comparative simulation study with an application to malnutrition data in India (2020)
  6. Hudecová, Šárka; Klicnarová, Jana; Šiman, Miroslav: Incomplete interdirections and lift-interdirections (2020)
  7. Paindaveine, Davy; Remy, Julien; Verdebout, Thomas: Sign tests for weak principal directions (2020)
  8. Curry, Jamye; Dang, Xin; Sang, Hailin: A rank-based Cramér-von-Mises-type test for two samples (2019)
  9. Dang, Xin; Sang, Hailin; Weatherall, Lauren: Gini covariance matrix and its affine equivariant version (2019)
  10. Shirke, Digambar Tukaram; Chavan, Atul Rajaram: Multivariate multi-sample tests for location based on data depth (2019)
  11. Yu, Long; He, Yong; Zhang, Xinsheng: Robust factor number specification for large-dimensional elliptical factor model (2019)
  12. Chen, Hui; Wang, Zhaojun; Zi, Xuemin: Two-sample spatial rank test using projection (2018)
  13. Han, Fang; Liu, Han: ECA: high-dimensional elliptical component analysis in non-Gaussian distributions (2018)
  14. Huwang, Longcheen; Lin, Jian-Chi; Lin, Li-Wei: A spatial rank-based EWMA chart for monitoring linear profiles (2018)
  15. Leung, Dennis; Drton, Mathias: Testing independence in high dimensions with sums of rank correlations (2018)
  16. Wang, Shanshan; Serfling, Robert: On masking and swamping robustness of leading nonparametric outlier identifiers for multivariate data (2018)
  17. Saha, Enakshi; Sarkar, Soham; Ghosh, Anil K.: Some high-dimensional one-sample tests based on functions of interpoint distances (2017)
  18. Serfling, Robert; Wijesuriya, Uditha: Depth-based nonparametric description of functional data, with emphasis on use of spatial depth (2017)
  19. Zhao, Weihua; Lian, Heng; Ma, Shujie: Robust reduced-rank modeling via rank regression (2017)
  20. Biswas, Munmun; Sarkar, Soham; Ghosh, Anil K.: On some exact distribution-free tests of independence between two random vectors of arbitrary dimensions (2016)

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