<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Empirical Distribution Ordering Inference Framework (EDOIF)</dc:title>
  <dc:title>R package EDOIF version 0.1.4</dc:title>
  <dc:description>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) &lt;doi:10.1016/j.heliyon.2020.e05435&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0), boot</dc:relation>
  <dc:relation>Imports: distr, igraph, ellipsis, simpleboot, ggplot2 (&gt;= 3.0)</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, markdown</dc:relation>
  <dc:creator>Chainarong Amornbunchornvej &lt;grandca@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Chainarong Amornbunchornvej [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0003-3131-0370&gt;)</dc:contributor>
  <dc:rights>BSD_3_clause + file LICENSE (https://CRAN.R-project.org/package=EDOIF/LICENSE)</dc:rights>
  <dc:date>2025-04-28</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=EDOIF</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.EDOIF</dc:identifier>
  <dc:language>en-US</dc:language>
</oai_dc:dc>
