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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "sstn" in publications use:'
type: software
license: GPL-3.0-only
title: 'sstn: Self-Similarity Test for Normality'
version: 1.0.1
doi: 10.32614/CRAN.package.sstn
abstract: 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", <https://doi.org/10.48550/arXiv.2604.03810>.
authors:
- family-names: Anarat
  given-names: Akin
  email: akin.anarat@hhu.de
repository: https://cran.r-universe.dev
commit: 522897a7e04664af21c6be498b70ad5bd7c9bdb0
date-released: '2026-04-11'
contact:
- family-names: Anarat
  given-names: Akin
  email: akin.anarat@hhu.de