Computes a novel metric of affinity between two entities based on their co-occurrence (using binary presence/absence data). The metric and its MLE, alpha hat, were advanced in Mainali, Slud, et al, 2021 <doi:10.1126/sciadv.abj9204>. Various types of confidence intervals and median interval were developed in Mainali and Slud, 2022 <doi:10.1101/2022.11.01.514801>.
| Version: | 1.0 |
| Depends: | R (≥ 4.1), BiasedUrn (≥ 2.0.9) |
| Imports: | cowplot, ggplot2, plyr, reshape |
| Suggests: | cooccur |
| Published: | 2023-05-03 |
| DOI: | 10.32614/CRAN.package.CooccurrenceAffinity |
| Author: | Kumar Mainali [aut, cre], Eric Slud [aut] |
| Maintainer: | Kumar Mainali <kpmainali at gmail.com> |
| BugReports: | https://github.com/kpmainali/CooccurrenceAffinity/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/kpmainali/CooccurrenceAffinity |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | CooccurrenceAffinity results |
| Reference manual: | CooccurrenceAffinity.pdf |
| Package source: | CooccurrenceAffinity_1.0.tar.gz |
| Windows binaries: | r-devel: CooccurrenceAffinity_1.0.zip, r-release: CooccurrenceAffinity_1.0.zip, r-oldrel: CooccurrenceAffinity_1.0.zip |
| macOS binaries: | r-release (arm64): CooccurrenceAffinity_1.0.tgz, r-oldrel (arm64): CooccurrenceAffinity_1.0.tgz, r-release (x86_64): CooccurrenceAffinity_1.0.tgz, r-oldrel (x86_64): CooccurrenceAffinity_1.0.tgz |
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