JBGTest: Jarque-Bera Test with Glinskiy Corrections

In Analitica: Exploratory Data Analysis, Group Comparison Tools, and Other Procedures

Jarque-Bera Test with Glinskiy Corrections

Description

Performs the Jarque-Bera test for normality with optional corrections proposed by Glinskiy et al. (2024), depending on whether the mean, variance, or both are known a priori.

Usage

JBGTest(y, mu = NULL, sigma2 = NULL, alpha = 0.05)

Arguments

y	A numeric vector to test for normality.
mu	Optional known mean value. Default is NULL.
sigma2	Optional known variance value. Default is NULL.
alpha	Significance level for the test (default is 0.05).

Value

An object of class "normalidad", containing:

• statistic: Test statistic value.

• df: Degrees of freedom (always 2).

• p_value: P-value of the test.

• decision: Conclusion about normality.

• variant: Type of JB test applied.

• method: "Jarque-Bera (Glinskiy)"

References

Glinskiy, Vladimir & Ismayilova, Yulia & Khrushchev, Sergey & Logachov, Artem & Logachova, Olga & Serga, Lyudmila & Yambartsev, Anatoly & Zaykov, Kirill. (2024). Modifications to the Jarque–Bera Test. Mathematics. 12. 2523. 10.3390/math12162523.

Examples

data(d_e, package = "Analitica")
JBGTest(d_e$Sueldo_actual)
#output different of result
summary(JBGTest(d_e$Sueldo_actual))

Analitica documentation built on Nov. 5, 2025, 5:13 p.m.