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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.4 |
rolling source/ R- | EDOIF_0.1.4.tar.gz |
347.3 KiB |
0.1.4 |
latest source/ R- | EDOIF_0.1.4.tar.gz |
347.3 KiB |
0.1.4 |
2026-04-09 windows/windows R-4.5 | EDOIF_0.1.4.zip |
243.6 KiB |