Package: CooccurrenceAffinity 1.0
CooccurrenceAffinity: Affinity in Co-Occurrence Data
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>.
Authors:
CooccurrenceAffinity_1.0.tar.gz
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CooccurrenceAffinity.pdf |CooccurrenceAffinity.html✨
CooccurrenceAffinity/json (API)
| # Install 'CooccurrenceAffinity' in R: |
| install.packages('CooccurrenceAffinity', repos = c('https://kpmainali.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kpmainali/cooccurrenceaffinity/issues
Last updated 2 years agofrom:37a2c58a18. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 15 2024 |
| R-4.5-win | NOTE | Nov 15 2024 |
| R-4.5-linux | NOTE | Nov 15 2024 |
| R-4.4-win | NOTE | Nov 15 2024 |
| R-4.4-mac | NOTE | Nov 15 2024 |
| R-4.3-win | OK | Nov 15 2024 |
| R-4.3-mac | OK | Nov 15 2024 |
Exports:AcceptAffCIAcceptAffinaffinityaffinity2by2AlphIntsBisectCovrgCovrgPlotdataprepEHypMidPEHypQuIntlogLikExtHypMaxX.IntmidP.EHypminmaxAlpha.pFNCHMinX.IntML.Alphaplotgg
Dependencies:BiasedUrnclicolorspacecowplotfansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppreshaperlangscalestibbleutf8vctrsviridisLitewithr
