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: 2026-04-11 15:37:44 UTC; Akin
Author: Akin Anarat [aut, cre]
Maintainer: Akin Anarat <akin.anarat@hhu.de>
Repository: CRAN
Date/Publication: 2026-04-11 15:50:02 UTC
Built: R 4.7.0; ; 2026-06-10 01:32:44 UTC; windows
