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) .


Reference manual

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0.1.2 by Chainarong Amornbunchornvej, 4 months ago


Report a bug at https://github.com/DarkEyes/EDOIF/issues

Browse source code at https://github.com/cran/EDOIF

Authors: Chainarong Amornbunchornvej [aut, cre]

Documentation:   PDF Manual  

BSD_3_clause + file LICENSE license

Imports distr, igraph, ellipsis, simpleboot, ggplot2

Depends on boot

Suggests knitr, rmarkdown, markdown

See at CRAN