[aut, cre]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 (2019) <arXiv:1911.06723>.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.5.0), boot |
| Imports: | distr, igraph, ellipsis, simpleboot, ggplot2 (≥ 3.0) |
| Suggests: | knitr, rmarkdown |
| Published: | 2019-12-02 |
| Author: | Chainarong Amornbunchornvej
[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_0.1.1.tar.gz |
| Windows binaries: | r-devel: EDOIF_0.1.1.zip, r-release: EDOIF_0.1.1.zip, r-oldrel: EDOIF_0.1.1.zip |
| macOS binaries: | r-release: EDOIF_0.1.1.tgz, r-oldrel: EDOIF_0.1.1.tgz |
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