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>.

Version: 0.1.2
Depends: R (≥ 3.5.0), boot
Imports: distr, igraph, ellipsis, simpleboot, ggplot2 (≥ 3.0)
Suggests: knitr, rmarkdown, markdown
Published: 2020-11-07
Author: Chainarong Amornbunchornvej ORCID iD [aut, cre]
Maintainer: Chainarong Amornbunchornvej <grandca at gmail.com>
BugReports: https://github.com/DarkEyes/EDOIF/issues
License: BSD_3_clause + file LICENSE
URL: https://github.com/DarkEyes/EDOIF
NeedsCompilation: no
Language: en-US
Citation: EDOIF citation info
Materials: README NEWS
CRAN checks: EDOIF results

Downloads:

Reference manual: EDOIF.pdf
Vignettes: EDOIF_demo
Package source: EDOIF_0.1.2.tar.gz
Windows binaries: r-devel: EDOIF_0.1.2.zip, r-release: EDOIF_0.1.2.zip, r-oldrel: EDOIF_0.1.2.zip
macOS binaries: r-release: EDOIF_0.1.2.tgz, r-oldrel: EDOIF_0.1.2.tgz
Old sources: EDOIF archive

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