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sstn  

Self-Similarity Test for Normality
View on CRAN: Click here


Download and install sstn package within the R console
Install from CRAN:
install.packages("sstn")

Install from Github:
library("remotes")
install_github("cran/sstn")

Install by package version:
library("remotes")
install_version("sstn", "1.0.0")



Attach the package and use:
library("sstn")
Maintained by
Akin Anarat
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-09-16
Latest Update: 2025-09-16
Description:
Implements the Self-Similarity Test for Normality (SSTN), a new statistical test designed to assess whether a given sample originates from a normal distribution. The procedure is based on iteratively estimating the characteristic function of the sum of standardized i.i.d. random variables and comparing it to the characteristic function of the standard normal distribution. A Monte Carlo procedure is used to determine the empirical distribution of the test statistic under the null hypothesis. Details of the methodology are described in Anarat and Schwender (2025), "A normality test based on self-similarity" (Submitted).
How to cite:
Akin Anarat (2025). sstn: Self-Similarity Test for Normality. R package version 1.0.0, https://cran.r-project.org/web/packages/sstn. Accessed 06 Mar. 2026.
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Complete documentation for sstn
Functions, R codes and Examples using the sstn R package
Full sstn package functions and examples
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