MVN

R package MVN: Multivariate Normality Tests. Performs multivariate normality tests and graphical approaches and implements multivariate outlier detection and univariate normality of marginal distributions through plots and tests.

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 16 articles )

Showing results 1 to 16 of 16.
Sorted by year (citations)

  1. Al-Thani, Hessa; Lee, Jon: An R package for generating covariance matrices for maximum-entropy sampling from precipitation chemistry data (2020)
  2. Henze, Norbert; Visagie, Jaco: Testing for normality in any dimension based on a partial differential equation involving the moment generating function (2020)
  3. Hessa Al-Thani, Jon Lee: An R Package for generating covariance matrices for maximum-entropy sampling from precipitation chemistry data (2020) arXiv
  4. Chaturvedi, Ajit; Bapat, Sudeep R.; Joshi, Neeraj: A (k)-stage procedure for estimating the mean vector of a multivariate normal population (2019)
  5. Chen, Cathy W. S.; Than-Thi, Hong; So, Mike K. P.: On hysteretic vector autoregressive model with applications (2019)
  6. Cinzia Franceschini, Nicola Loperfido: MaxSkew and MultiSkew: Two R Packages for Detecting, Measuring and Removing Multivariate Skewness (2019) arXiv
  7. Najarzadeh, Dariush: Testing equality of standardized generalized variances of (k) multivariate normal populations with arbitrary dimensions (2019)
  8. Park, Seongoh; Lim, Johan; Wang, Xinlei; Lee, Sanghan: Permutation based testing on covariance separability (2019)
  9. Talebi, Hassan; Mueller, Ute; Tolosana-Delgado, Raimon; van den Boogaart, K. Gerald: Geostatistical simulation of geochemical compositions in the presence of multiple geological units: application to mineral resource evaluation (2019)
  10. Duarte Silva, A. Pedro; Filzmoser, Peter; Brito, Paula: Outlier detection in interval data (2018)
  11. Gómez, José G.: Dependent Lindeberg central limit theorem for the fidis of empirical processes of cluster functionals (2018)
  12. González-Estrada, E.; Villaseñor, J. A.: An R package for testing goodness of fit: goft (2018)
  13. Huang, Hsin-Hsiung; Hao, Shuai; Alarcon, Saul; Yang, Jie: Comparisons of classification methods for viral genomes and protein families using alignment-free vectorization (2018)
  14. Bilodeau, Martin; Nangue, Aurélien Guetsop: Tests of mutual or serial independence of random vectors with applications (2017)
  15. van den Boogaart, K. Gerald; Mueller, Ute; Tolosana-Delgado, Raimon: An affine equivariant multivariate normal score transform for compositional data (2017)
  16. Nuno Fachada, Joao Rodrigues, Vitor V. Lopes, Rui C. Martins, Agostinho C. Rosa: micompr: An R Package for Multivariate Independent Comparison of Observations (2016) arXiv