finches
dataset now ships internally and can be loaded via data(finches)
without requiring cooccur.affinity()
for computing co-occurrence affinity metrics and their intervals dataprep()
to turn abundance data into presence/absence CovrgPlot()
to visualize coverage probability of confidence intervals plotgg()
ggplot2 wrapper for affinity outputs ML.Alpha()
, AlphInts()
)Package published on CRAN; available at https://cran.r-project.org/web/packages/CooccurrenceAffinity/index.html.
We are pleased to inform you that the interaction issue between our package and BiasedUrn v2.0.8 has been resolved in the latest version, BiasedUrn v2.0.9. We kindly request that you remove any previous versions of BiasedUrn and install v2.0.9 to ensure proper operation of the CooccurrenceAffinity package. We extend our heartfelt thanks to Agner Fox for promptly updating BiasedUrn and addressing these important issues.
After inspecting this issue https://github.com/kpmainali/CooccurrenceAffinity/issues/6, we have discovered that the recent revision of our dependency package BiasedUrn is causing R to crash occasionally while running CooccurrenceAffinity. We are actively working to resolve this issue from within our package. In the meantime, we strongly advise against updating BiasedUrn to version 2.0.8. If you have already upgraded, we recommend removing this version and installing the prior version 1.07 as a temporary solution. We will provide updates as soon as the issue is resolved.
Completed writing the package manuscript serving as the vignette. Preprint available: https://www.biorxiv.org/content/10.1101/2022.11.01.514801v1
CovrgPlot()
revised to generate multipanel plots.
Added function minmaxAlpha.pFNCH()
to address range inconsistency in BiasedUrn::pFNCHypergeo() for extreme examples. Without this function, BiasedUrn::pFNCHHypergeo() returns inconsistency message for extreme examples like: AlphInts(20,c(204,269,2016), lev=0.9, scal=10). This problem is solved within our package by restricting the range of allowed alpha to the computed (alphmin, alphmax) range.
Fixed a bug in ML.Alpha()
affecting computation of the upper bound of the alpha MLE. Users before this date should reinstall.
Substantial revision of existing functions’ descriptions, examples, and arguments. Added new functions for binary matrix analysis and plotting.
This package was released with a basic set of functions in Dec 2021.
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