Package: adaplots
Type: Package
Title: Ada-Plot and Uda-Plot for Assessing Distributional Attributes
        and Normality
Version: 0.1.0
Authors@R: person(given = c("Uditha", "Amarananda"),
                      family = "Wijesuriya",
                      role = c("aut", "cre"),
                      email = "u.wijesuriya@usi.edu") 
Maintainer: Uditha Amarananda Wijesuriya <u.wijesuriya@usi.edu>
Description: The centralized empirical cumulative average deviation function is utilized to develop
             both Ada-plot and Uda-plot as alternatives to Ad-plot and Ud-plot introduced by the author.
             Analogous to Ad-plot, Ada-plot can identify symmetry, skewness, and outliers of the data
             distribution. The Uda-plot is as exceptional as Ud-plot in assessing normality. The d-value 
             that quantifies the degree of proximity between the Uda-plot and the graph of the estimated 
             normal density function helps guide to make decisions on confirmation of normality. Extreme 
             values in the data can be eliminated using the 1.5IQR rule to create its robust version if user
             demands. Full description of the methodology can be found in the article by Wijesuriya (2025a)
             <doi:10.1080/03610926.2025.2558108>. Further, the development of Ad-plot and Ud-plot is 
             contained in both article and the 'adplots' R package by Wijesuriya (2025b & 2025c) 
             <doi:10.1080/03610926.2024.2440583> and <doi:10.32614/CRAN.package.adplots>.
License: GPL-3
Encoding: UTF-8
Imports: ggplot2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-09-29 13:16:20 UTC; uwijesuriy
Author: Uditha Amarananda Wijesuriya [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-06 08:00:14 UTC
Built: R 4.6.0; ; 2026-04-27 21:34:19 UTC; unix
