sstn: Self-Similarity Test for Normality
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 method exploits the self-similarity property of
the normal characteristic function by iteratively transforming and comparing
standardized empirical characteristic functions. The null distribution of
the test statistic is obtained via Monte Carlo simulation. Details of the
methodology are described in Anarat and Schwender (2026),
"A test for normality based on self-similarity", <doi:10.48550/arXiv.2604.03810>.
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