EDOIF: Empirical Distribution Ordering Inference Framework (EDOIF)

A non-parametric framework based on estimation statistics principle. Its main purpose is to infer orders of empirical distributions from different categories based on a probability of finding a value in one distribution that is greater than an expectation of another distribution. Given a set of ordered-pair of real-category values the framework is capable of 1) inferring orders of domination of categories and representing orders in the form of a graph; 2) estimating magnitude of difference between a pair of categories in forms of mean-difference confidence intervals; and 3) visualizing domination orders and magnitudes of difference of categories. The publication of this package is at Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, and Suttipong Thajchayapong (2020) <doi:10.1016/j.heliyon.2020.e05435>.

Version:	0.1.4
Depends:	R (≥ 3.5.0), boot
Imports:	distr, igraph, ellipsis, simpleboot, ggplot2 (≥ 3.0)
Suggests:	knitr, rmarkdown, markdown
Published:	2025-04-28
DOI:	10.32614/CRAN.package.EDOIF
Author:	Chainarong Amornbunchornvej [aut, cre]
Maintainer:	Chainarong Amornbunchornvej <grandca at gmail.com>
BugReports:	https://github.com/DarkEyes/EDOIF/issues
License:	BSD_3_clause + file LICENSE
URL:	https://github.com/DarkEyes/EDOIF
NeedsCompilation:	no
Language:	en-US
Citation:	EDOIF citation info
Materials:	README, NEWS
CRAN checks:	EDOIF results

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