c(person("Selcuk", "Korkmaz", role = c("aut", "cre"),
email = "selcuk.korkmaz@hacettepe.edu.tr"),
person("Dincer", "Goksuluk", role = "aut",
email = "dincer.goksuluk@hacettepe.edu.tr"),
person("Gokmen", "Zararsiz", role = "aut",
email = "gokmen.zararsiz@hacettepe.edu.tr"))
Selcuk Korkmaz [aut, cre], Dincer Goksuluk [aut], Gokmen Zararsiz [aut]
methods, nortest, moments, MASS, robustbase, mvoutlier, plyr
classes.R mardiaTest.R hzTest.R roystonTest.R mvOutlier.R
mvnPlot.R uniNorm.R uniPlot.R

methods, nortest, moments, MASS, robustbase, mvoutlier, plyr,
psych
Performs multivariate normality tests and graphical approaches and implements multivariate outlier detection and univariate normality of marginal distributions through plots and tests.

c(person("Selcuk", "Korkmaz", role = c("aut", "cre"),
email = "selcukorkmaz@gmail.com"),
person("Dincer", "Goksuluk", role = "aut",
email = "dincer.goksuluk@hacettepe.edu.tr"),
person("Gokmen", "Zararsiz", role = "aut",
email = "gokmen.zararsiz@hacettepe.edu.tr"))
classes.R mardiaTest.R hzTest.R roystonTest.R mvOutlier.R
mvnPlot.R uniNorm.R uniPlot.R contourControl.R perspControl.R

c(person("Selcuk", "Korkmaz", role = c("aut", "cre"),
email = "selcukorkmaz@gmail.com"),
person("Dincer", "Goksuluk", role = "aut",
email = "dincer.goksuluk@gmail.com"),
person("Gokmen", "Zararsiz", role = "aut",
email = "gokmenzararsiz@hotmail.com"))
Selcuk Korkmaz [aut, cre],
Dincer Goksuluk [aut],
Gokmen Zararsiz [aut]
methods, nortest, moments, MASS, robustbase, mvoutlier, plyr,
psych, boot, energy, kableExtra, magrittr
Performs multivariate normality tests and graphical approaches and
implements multivariate outlier detection and univariate normality of marginal
distributions through plots and tests (Korkmaz et al, (2014), <https://journal.r-project.org/archive/2014-2/korkmaz-goksuluk-zararsiz.pdf>).

methods, nortest, moments, MASS, robustbase, mvoutlier, plyr,
psych, boot, energy, kableExtra, magrittr, car
Performs multivariate normality tests and graphical approaches and
implements multivariate outlier detection and univariate normality of marginal
distributions through plots and tests, and performs multivariate Box-Cox transformation
(Korkmaz et al, (2014), <https://journal.r-project.org/archive/2014-2/korkmaz-goksuluk-zararsiz.pdf>).