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bioRgeo

This R package gathers a comprehensive set of algorithms to perform bioregionalization annalyses.
The different algorithms come from the network literature or can be (non)-hierarchical.

⏬ Installation

The package is not on CRAN yet and is still under active development. You can install the development version from the GitHub repository with the following command:

# install.packages("devtools")
devtools::install_github("bioRgeo/bioRgeo")

📜 Vignettes

We wrote several vignettes that will help you using the bioRgeo R package. Vignettes available are the following ones:

Alternatively, if you prefer to view the vignettes in R, you can install the package with build_vignettes = TRUE. But be aware that some vignettes can be slow to generate.

remotes::install_github("bioRgeo/bioRgeo",
                        dependencies = TRUE, upgrade = "ask", 
                        build_vignettes = TRUE)

vignette("bioRgeo")

🖥️ Functions

An overview of all functions and data is given here.

🐛 Find a bug?

Thank you for finding it. Head over to the GitHub Issues tab and let us know about it. Alternatively, you can also send us an e-mail. We will try to get to it as soon as we can!

References and dependencies

bioRgeo depends on ape, bipartite, cluster, data.table, dbscan, dendextend, dynamicTreeCut, earth, fastcluster, ggplot2, grDevices, igraph, mathjaxr, Matrix, Rcpp, Rdpack, rlang, rmarkdown, sf, stats, tidyr and utils.