cn.test: Central normality test

In power.transform: Location and Scale Invariant Power Transformations

Central normality test

Description

Assesses central normality of input data.

Usage

cn.test(x, transformer = NULL, robust = FALSE)

Arguments

x	vector of input data, of at least length 5.
transformer	A transformer object created using find_transformation_parameters. Optional, if present residuals are determined from x after transformation.
robust	Determines the use of the strict test for central normality (FALSE) or the more robust version where test statistics where determined from normally distributed data with 10% outliers (TRUE).

Value

list with mean absolute error (tau), critical value (at significance level = 0.95) of the test statistic (tau_critical) and p-value (p_value) for (empirical) central normality test.

power.transform documentation built on April 12, 2025, 5:08 p.m.