Package: cooccur 1.3

cooccur: Probabilistic Species Co-Occurrence Analysis in R

This R package applies the probabilistic model of species co-occurrence (Veech 2013) to a set of species distributed among a set of survey or sampling sites. The algorithm calculates the observed and expected frequencies of co-occurrence between each pair of species. The expected frequency is based on the distribution of each species being random and independent of the other species. The analysis returns the probabilities that a more extreme (either low or high) value of co-occurrence could have been obtained by chance. The package also includes functions for visualizing species co-occurrence results and preparing data for downstream analyses.

Authors:Daniel M. Griffith, Joseph A. Veech, and Charles J. Marsh

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# Install 'cooccur' in R:
install.packages('cooccur', repos = c('https://griffithdan.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/griffithdan/cooccur/issues

Datasets:
  • beetles - Beetle occurrence data from (Ulrich and Zalewski 2006).
  • finches - Finch occurrence data from (Sanderson 2000).
  • rodents - Rodent occurrence data from (Brown and Kurzius 1987).

On CRAN:

4.61 score 3 stars 135 scripts 489 downloads 14 mentions 8 exports 34 dependencies

Last updated 7 years agofrom:ec1ea769de. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-winWARNINGNov 10 2024
R-4.5-linuxWARNINGNov 10 2024
R-4.4-winWARNINGNov 10 2024
R-4.4-macWARNINGNov 10 2024
R-4.3-winWARNINGNov 10 2024
R-4.3-macWARNINGNov 10 2024

Exports:cooccurcreate.N.matrixeffect.sizesobs.v.exppairpair.attributespair.profileprob.table

Dependencies:clicolorspacefansifarverggplot2gluegmpgtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppreshape2rlangscalesstringistringrtibbleutf8vctrsviridisLitewithr