# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "CooccurrenceAffinity" in publications use:'
type: software
license: MIT
title: 'CooccurrenceAffinity: Affinity in Co-Occurrence Data'
version: '1.0'
doi: 10.32614/CRAN.package.CooccurrenceAffinity
abstract: 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 <https://doi.org/10.1126/sciadv.abj9204>.
  Various types of confidence intervals and median interval were developed in Mainali
  and Slud, 2022 <https://doi.org/10.1101/2022.11.01.514801>.
authors:
- family-names: Mainali
  given-names: Kumar
  email: kpmainali@gmail.com
- family-names: Slud
  given-names: Eric
repository: https://kpmainali.r-universe.dev
repository-code: https://github.com/kpmainali/CooccurrenceAffinity
commit: 37a2c58a184ae35d43ecd631399c9dae7959e009
url: https://github.com/kpmainali/CooccurrenceAffinity
date-released: '2023-05-02'
contact:
- family-names: Mainali
  given-names: Kumar
  email: kpmainali@gmail.com