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PlotNormTest: Graphical Univariate/Multivariate Assessments for Normality Assumption

Graphical methods testing multivariate normality assumption. Methods including assessing score function, and moment generating functions,independent transformations and linear transformations. For more details see Tran (2024),"Contributions to Multivariate Data Science: Assessment and Identification of Multivariate Distributions and Supervised Learning for Groups of Objects." , PhD thesis, <https://our.oakland.edu/items/c8942577-2562-4d2f-8677-cb8ec0bf6234>.

Version: 1.0.1
Depends: R (≥ 3.5.0)
Imports: Rdpack, ggplot2, stats, Matrix, MatrixExtra, MASS, rlang
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2025-03-25
Author: Huong Tran ORCID iD [aut, cre], Ravindra Khattree ORCID iD [aut]
Maintainer: Huong Tran <quynhhuong5335 at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: PlotNormTest results

Documentation:

Reference manual: PlotNormTest.pdf
Vignettes: intro-PlotNormTest (source, R code)

Downloads:

Package source: PlotNormTest_1.0.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-devel (arm64): PlotNormTest_1.0.1.tgz, r-release (arm64): PlotNormTest_1.0.1.tgz, r-oldrel (arm64): PlotNormTest_1.0.1.tgz, r-devel (x86_64): PlotNormTest_1.0.1.tgz, r-release (x86_64): PlotNormTest_1.0.1.tgz, r-oldrel (x86_64): PlotNormTest_1.0.1.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.