R: Graphical Univariate/Multivariate Assessments for Normality Assumption

# Graphical Univariate/Multivariate Assessments for Normality Assumption

## Documentation for package ‘PlotNormTest’ version 1.0.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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