The main purpose of this package is to propose a transparent methodological framework to compare bioregionalisation methods based on hierarchical and non-hierarchical clustering algorithms (Kreft & Jetz (2010) <doi:10.1111/j.1365-2699.2010.02375.x>) and network algorithms (Lenormand et al. (2019) <doi:10.1002/ece3.4718> and Leroy et al. (2019) <doi:10.1111/jbi.13674>).
| Version: | 1.2.0 |
| Depends: | R (≥ 4.0.0) |
| Imports: | ape,apcluster,bipartite,cluster,data.table,dbscan,dynamicTreeCut,fastcluster,fastkmedoids,ggplot2, grDevices,httr,igraph,mathjaxr,Matrix,phangorn,Rdpack,rlang,rmarkdown,segmented,sf, stats,tidyr, utils |
| LinkingTo: | Rcpp |
| Suggests: | ade4,dplyr,knitr,microbenchmark,rnaturalearth,rnaturalearthdata,testthat (≥ 3.0.0) |
| Published: | 2025-01-31 |
| DOI: | 10.32614/CRAN.package.bioregion |
| Author: | Maxime Lenormand [aut, cre], Boris Leroy [aut], Pierre Denelle [aut] |
| Maintainer: | Maxime Lenormand <maxime.lenormand at inrae.fr> |
| BugReports: | https://github.com/bioRgeo/bioregion/issues |
| License: | GPL-3 |
| URL: | https://github.com/bioRgeo/bioregion,https://bioRgeo.github.io/bioregion/ |
| NeedsCompilation: | yes |
| Materials: | README,NEWS |
| CRAN checks: | bioregion results |