Package: sstn
Title: Self-Similarity Test for Normality
Version: 1.0.0
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 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).
License: GPL-3
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
Encoding: UTF-8
Language: en-US
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-09-11 15:09:15 UTC; Akin
Author: Akin Anarat [aut, cre]
Maintainer: Akin Anarat <akin.anarat@hhu.de>
Repository: CRAN
Date/Publication: 2025-09-16 07:30:02 UTC
Built: R 4.4.3; ; 2025-10-08 01:21:47 UTC; windows
