Welcome to ClientVPS Mirrors

CRAN: Package PlotNormTest

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
DOI: 10.32614/CRAN.package.PlotNormTest
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.html , PlotNormTest.pdf
Vignettes: intro-PlotNormTest (source, R code)

Downloads:

Package source: PlotNormTest_1.0.1.tar.gz
Windows binaries: r-devel: PlotNormTest_1.0.1.zip, r-release: PlotNormTest_1.0.1.zip, r-oldrel: PlotNormTest_1.0.1.zip
macOS binaries: r-release (arm64): PlotNormTest_1.0.1.tgz, r-oldrel (arm64): PlotNormTest_1.0.1.tgz, r-release (x86_64): PlotNormTest_1.0.1.tgz, r-oldrel (x86_64): PlotNormTest_1.0.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=PlotNormTest to link to this page.

Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.

This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.