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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

Documentation:

Reference manual: EDOIF.pdf
Vignettes: EDOIF_demo

Downloads:

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

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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