The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
Please use the canonical form https://CRAN.R-project.org/package=CooccurrenceAffinity 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.