Package: sstn
Title: Self-Similarity Test for Normality
Version: 1.0.1
Authors@R: 
    person("Akin", "Anarat", , "akin.anarat@hhu.de", role = c("aut", "cre"))
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 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>.
Imports: MASS
License: GPL-3
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
Encoding: UTF-8
Language: en-US
RoxygenNote: 7.3.3
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-07-10 06:44:45 UTC; root
Author: Akin Anarat [aut, cre]
Maintainer: Akin Anarat <akin.anarat@hhu.de>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-04-11 16:59:11 UTC
RemoteUrl: https://github.com/cran/sstn
RemoteRef: HEAD
RemoteSha: 522897a7e04664af21c6be498b70ad5bd7c9bdb0