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 48 articles , 1 standard article )

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  1. Harrar, Solomon W.; Kong, Xiaoli: Recent developments in high-dimensional inference for multivariate data: parametric, semiparametric and nonparametric approaches (2022)
  2. Nordhausen, Klaus; Ruiz-Gazen, Anne: On the usage of joint diagonalization in multivariate statistics (2022)
  3. Cabana, Elisa; Lillo, Rosa E.; Laniado, Henry: Multivariate outlier detection based on a robust Mahalanobis distance with shrinkage estimators (2021)
  4. Feng, Long; Zhao, Ping; Ding, Yanling; Liu, Binghui: Rank-based tests of cross-sectional dependence in panel data models (2021)
  5. 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)
  6. Ma, Xuejun; Wang, Shaochen; Zhou, Wang: Testing multivariate quantile by empirical likelihood (2021)
  7. Daniel Fischer, Karl Mosler, Jyrki Möttönen, Klaus Nordhausen, Oleksii Pokotylo, Daniel Vogel: Computing the Oja Median in R: The Package OjaNP (2020) not zbMATH
  8. del Barrio, Eustasio; González-Sanz, Alberto; Hallin, Marc: A note on the regularity of optimal-transport-based center-outward distribution and quantile functions (2020)
  9. D’Urso, Pierpaolo; De Giovanni, Livia; Massari, Riccardo: Smoothed self-organizing map for robust clustering (2020)
  10. Feng, Long; Zhang, Xiaoxu; Liu, Binghui: A high-dimensional spatial rank test for two-sample location problems (2020)
  11. Feng, Long; Zhang, Xiaoxu; Liu, Binghui: Multivariate tests of independence and their application in correlation analysis between financial markets (2020)
  12. Herwartz, Helmut; Maxand, Simone: Nonparametric tests for independence: a review and comparative simulation study with an application to malnutrition data in India (2020)
  13. Hudecová, Šárka; Klicnarová, Jana; Šiman, Miroslav: Incomplete interdirections and lift-interdirections (2020)
  14. Kim, Ilmun; Balakrishnan, Sivaraman; Wasserman, Larry: Robust multivariate nonparametric tests via projection averaging (2020)
  15. Paindaveine, Davy; Remy, Julien; Verdebout, Thomas: Sign tests for weak principal directions (2020)
  16. Pereira, Alba M. Franco; Lillo, Rosa E.: Rank tests for functional data based on the epigraph, the hypograph and associated graphical representations (2020)
  17. Curry, Jamye; Dang, Xin; Sang, Hailin: A rank-based Cramér-von-Mises-type test for two samples (2019)
  18. Dang, Xin; Sang, Hailin; Weatherall, Lauren: Gini covariance matrix and its affine equivariant version (2019)
  19. Shirke, Digambar Tukaram; Chavan, Atul Rajaram: Multivariate multi-sample tests for location based on data depth (2019)
  20. Yu, Long; He, Yong; Zhang, Xinsheng: Robust factor number specification for large-dimensional elliptical factor model (2019)

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