Package: PlotNormTest 1.0.2

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>.

Authors:Huong Tran [aut, cre], Ravindra Khattree [aut]

PlotNormTest_1.0.2.tar.gz
PlotNormTest_1.0.2.zip(r-4.7-any)PlotNormTest_1.0.2.zip(r-4.6-any)PlotNormTest_1.0.2.zip(r-4.5-any)
PlotNormTest_1.0.2.tgz(r-4.6-any)PlotNormTest_1.0.2.tgz(r-4.5-any)
PlotNormTest_1.0.2.tar.gz(r-4.7-any)PlotNormTest_1.0.2.tar.gz(r-4.6-any)
PlotNormTest_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
PlotNormTest/json (API)

# Install 'PlotNormTest' in R:

install.packages('PlotNormTest', repos = c('https://huongtran53.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/huongtran53/plotnormtest/issues

On CRAN:

4.00 score 228 downloads 27 exports 26 dependencies

Last updated from:a364b67713. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	227
source / vignettes	OK	203
linux-release	OK	168
macos-release	OK	171
macos-oldrel	OK	226
windows-devel	OK	124
windows-release	OK	113
windows-oldrel	OK	100
wasm-release	OK	122

Exports:cox d3hCGF d3hCGF_plot d4hCGF d4hCGF_plot dhCGF_plot1D dhCGF1D dMGF kurtosis l_dhCGF linear_transform mt3_covLtLs mt3_covTtTs mt3_covZtZs mt3_get_param mt3_matrix_A mt3_pos mt3_rev_pos mt4_covLtLs mt4_covTtTs mt4_covZtZs mt4_get_param mt4_matrix_A mt4_pos Multi.to.Uni score_plot1D skewness

Dependencies:cli cpp11 farver float ggplot2 glue gtable isoband labeling lattice lifecycle MASS Matrix MatrixExtra R6 rbibutils RColorBrewer Rcpp Rdpack RhpcBLASctl rlang S7 scales vctrs viridisLite withr

Introduction to PlotNormTest

Rendered fromintro-PlotNormTest.Rmdusingknitr::rmarkdown

Last update: 2026-01-15
Started: 2026-01-15

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Linear combinations of distinct derivatives of empirical cumulant generating function (CGF).	covLtLs mt3_covLtLs mt4_covLtLs
Covariance matrix of derivatives of sample cumulant generating function (CGF).	covTtTs mt3_covTtTs mt4_covTtTs
Covariance matrix of derivatives of sample moment generating function (MGF).	covZtZs mt3_covZtZs mt4_covZtZs
Calculation of derivatives of empirical cumulant generating function (CGF).	d3hCGF d4hCGF dCGF dhCGF1D l_dhCGF
Moment generating functions (MGF) of standard normal distribution.	dMGF
Get parameters for plots derivatives of multivariate CGF to assess normality assumption.	get_params mt3_get_param mt4_get_param
Transformation to Independent Univariate Sample	Independent_transformation Multi.to.Uni
Best Linear Transformations	linear_transform
From derivatives of MGF to derivatives of CGF.	matrix_A mt3_matrix_A mt4_matrix_A
Derivatives of empirical moment generating function (MGF).	mt3_pos mt3_rev_pos mt4_pos
Graphical plots to assess multivariate normality assumption.	d3hCGF_plot d4hCGF_plot Multivariate_CGF_PLot
Sample skewness and Sample Kurtosis.	kurtosis skewness skewness_kurtosis
Graphical plots to assess multivariate univarite assumption of data.	dhCGF_plot1D Univariate_CGF_plot
Graphical plots to assess the univarite noramality assumption of data.	cox score_plot1D Univariate_Score_function