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: 0.1.3
Depends: R (≥ 3.5.0), boot
Imports: distr, igraph, ellipsis, simpleboot, ggplot2 (≥ 3.0)
Suggests: knitr, rmarkdown, markdown
Published: 2021-03-28
DOI: 10.32614/CRAN.package.EDOIF
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


Reference manual: EDOIF.pdf
Vignettes: EDOIF_demo


Package source: EDOIF_0.1.3.tar.gz
Windows binaries: r-devel: EDOIF_0.1.3.zip, r-release: EDOIF_0.1.3.zip, r-oldrel: EDOIF_0.1.3.zip
macOS binaries: r-release (arm64): EDOIF_0.1.3.tgz, r-oldrel (arm64): EDOIF_0.1.3.tgz, r-release (x86_64): EDOIF_0.1.3.tgz, r-oldrel (x86_64): EDOIF_0.1.3.tgz
Old sources: EDOIF archive


Please use the canonical form https://CRAN.R-project.org/package=EDOIF to link to this page.