r-mvn 6.1
Propagated dependencies: r-viridis@0.6.5 r-tidyr@1.3.1 r-tibble@3.2.1 r-stringr@1.5.1 r-purrr@1.0.4 r-plotly@4.10.4 r-nortest@1.0-4 r-moments@0.14.1 r-mice@3.18.0 r-mass@7.3-65 r-ggplot2@3.5.2 r-energy@1.7-12 r-dplyr@1.1.4 r-cli@3.6.5 r-car@3.1-3 r-boot@1.3-31
Channel: guix-cran
Home page: https://selcukorkmaz.github.io/mvn-tutorial/
Licenses: Expat
Synopsis: Multivariate Normality Tests
Description:
This package provides a comprehensive suite for assessing multivariate normality using six statistical tests (Mardia, Henzeâ Zirkler, Henzeâ Wagner, Royston, Doornikâ Hansen, Energy). Also includes univariate diagnostics, bivariate density visualization, robust outlier detection, power transformations (e.g., Boxâ Cox, Yeoâ Johnson), and imputation strategies ("mean", "median", "mice") for handling missing data. Bootstrap resampling is supported for selected tests to improve p-value accuracy in small samples. Diagnostic plots are available via both ggplot2 and interactive plotly visualizations. See Korkmaz et al. (2014) <https://journal.r-project.org/archive/2014-2/korkmaz-goksuluk-zararsiz.pdf>.
Total results: 12