Package: MVN 6.3

MVN: Multivariate Normality Tests

A comprehensive suite for assessing multivariate normality using six statistical tests (Mardia, Henze–Zirkler, Henze–Wagner, Royston, Doornik–Hansen, Energy). Also includes univariate diagnostics, bivariate density visualization, robust outlier detection, power transformations (e.g., Box–Cox, Yeo–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/articles/RJ-2014-031/RJ-2014-031.pdf>.

Authors:Selcuk Korkmaz [aut, cre], Dincer Goksuluk [aut], Gokmen Zararsiz [aut]

MVN_6.3.tar.gz
MVN_6.3.zip(r-4.7)MVN_6.3.zip(r-4.6)MVN_6.3.zip(r-4.5)
MVN_6.3.tgz(r-4.6-any)MVN_6.3.tgz(r-4.5-any)
MVN_6.3.tar.gz(r-4.7-any)MVN_6.3.tar.gz(r-4.6-any)
MVN_6.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MVN/json (API)

# Install 'MVN' in R:
install.packages('MVN', repos = c('https://selcukorkmaz.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/selcukorkmaz/mvn/issues

On CRAN:

Conda:

9.59 score 4 stars 5 packages 1.3k scripts 12k downloads 75 mentions 16 exports 133 dependencies

Last updated from:16d795e712. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK227
source / vignettesOK242
linux-release-x86_64OK235
macos-release-arm64OK183
macos-oldrel-arm64OK207
windows-develOK135
windows-releaseOK113
windows-oldrelOK142
wasm-releaseOK144

Exports:arw_adjustmentdescriptivesdoornik_hansenenergyhwhzimpute_missingmardiamultivariate_diagnostic_plotmv_outliermvnpower_transformroystonrun_mvn_apptest_univariate_normalityunivariate_diagnostic_plot

Dependencies:abindaskpassbackportsbase64encbitbit64bootbroombslibcachemcarcarDataclicliprcodetoolscolorspacecowplotcpp11crayoncrosstalkcurldata.tableDerivdigestdoBydplyrenergyevaluatefarverfastmapfontawesomeforcatsforeachforecastFormulafracdifffsgenericsggplot2glmnetgluegridExtragslgtablehavenhighrhmshtmltoolshtmlwidgetshttrisobanditeratorsjomojquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmemoisemgcvmicemicrobenchmarkmimeminqamitmlmodelrmomentsnlmenloptrnnetnortestnumDerivopensslordinalotelpanpbkrtestpillarpkgconfigplotlyprettyunitsprogresspromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreadrreformulasrlangrmarkdownrpartS7sassscalesshapeSparseMstringistringrsurvivalsystibbletidyrtidyselecttimeDatetinytextzdbucminfurcautf8vctrsviridisviridisLitevroomwithrxfunyamlzoo