Package: PlotNormTest 1.0.1

Huong Tran

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_1.0.1.tar.gz
PlotNormTest_1.0.1.tar.gz(r-4.5-noble)PlotNormTest_1.0.1.tar.gz(r-4.4-noble)
PlotNormTest_1.0.1.tgz(r-4.4-emscripten)PlotNormTest_1.0.1.tgz(r-4.3-emscripten)
PlotNormTest.pdf |PlotNormTest.html✨
PlotNormTest/json (API)
NEWS

# Install 'PlotNormTest' in R:

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

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 27 exports 34 dependencies

Last updated 2 hours agofrom:6e72b12e11. Checks:3 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 25 2025
R-4.5-linux	OK	Mar 25 2025
R-4.4-linux	OK	Mar 25 2025

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 colorspace fansi farver float ggplot2 glue gtable isoband labeling lattice lifecycle magrittr MASS Matrix MatrixExtra mgcv munsell nlme pillar pkgconfig R6 rbibutils RColorBrewer Rcpp Rdpack RhpcBLASctl rlang scales tibble utf8 vctrs viridisLite withr

Introduction to PlotNormTest

Rendered fromintro-PlotNormTest.Rmdusingknitr::rmarkdownon Mar 25 2025.

Last update: 2025-03-25
Started: 2025-03-25

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

Package: PlotNormTest 1.0.1

PlotNormTest: Graphical Univariate/Multivariate Assessments for Normality Assumption

Introduction to PlotNormTest

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)