EDOIF
0.1.4Empirical Distribution Ordering Inference Framework (EDOIF)
Overview
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.
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- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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- Documented parameters
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- Return-value docs
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- References docs
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Checks run against github.com/darkeyes/edoif on 2026-07-19.
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Code & Tests
People & History
4 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.4Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.1.32021-03-28 · diff ↗
- 0.1.22020-11-07 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 0.1.12019-12-02
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-12-02
- Total releases
- 4 / 7 yrs
- License
- BSD_3_clause + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 345 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet