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>.
|Depends:||R (≥ 4.1), BiasedUrn (≥ 2.0.9)|
|Imports:||cowplot, ggplot2, plyr, reshape|
|Author:||Kumar Mainali [aut, cre], Eric Slud [aut]|
|Maintainer:||Kumar Mainali <kpmainali at gmail.com>|
|License:||MIT + file LICENSE|
|CRAN checks:||CooccurrenceAffinity results|
|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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