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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 "adaplots" in publications use:'
type: software
license: GPL-3.0-only
title: 'adaplots: Ada-Plot and Uda-Plot for Assessing Distributional Attributes and
  Normality'
version: 0.1.0
doi: 10.32614/CRAN.package.adaplots
abstract: 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)
  <https://doi.org/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) <https://doi.org/10.1080/03610926.2024.2440583> and <https://doi.org/10.32614/CRAN.package.adplots>.
authors:
- family-names: Wijesuriya
  given-names: Uditha Amarananda
  email: u.wijesuriya@usi.edu
repository: https://cran.r-universe.dev
commit: 8fce69b36618f0bde4bf75e618ef7a6c8c241cd7
date-released: '2025-10-06'
contact:
- family-names: Wijesuriya
  given-names: Uditha Amarananda
  email: u.wijesuriya@usi.edu