Installation
About
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.
Citation | EDOIF citation info |
github.com/DarkEyes/EDOIF | |
Bug report | File report |
Key Metrics
Downloads
Yesterday | 10 0% |
Last 7 days | 51 -19% |
Last 30 days | 197 -2% |
Last 90 days | 537 -34% |
Last 365 days | 2.530 -12% |