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>.

Package details

AuthorChainarong Amornbunchornvej [aut, cre] (<https://orcid.org/0000-0003-3131-0370>)
MaintainerChainarong Amornbunchornvej <grandca@gmail.com>
LicenseBSD_3_clause + file LICENSE
URL https://github.com/DarkEyes/EDOIF
Package repositoryView on CRAN
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EDOIF documentation built on March 28, 2021, 9:11 a.m.