phyloregion: Biogeographic Regionalization and Macroecology

Computational infrastructure for biogeography, community ecology, and biodiversity conservation (Daru et al. 2020) <doi:10.1111/2041-210X.13478>. It is based on the methods described in Daru et al. (2020) <doi:10.1038/s41467-020-15921-6>. The original conceptual work is described in Daru et al. (2017) <doi:10.1016/j.tree.2017.08.013> on patterns and processes of biogeographical regionalization. Additionally, the package contains fast and efficient functions to compute more standard conservation measures such as phylogenetic diversity, phylogenetic endemism, evolutionary distinctiveness and global endangerment, as well as compositional turnover (e.g., beta diversity).

Version: 1.0.6
Depends: R (≥ 4.0.0)
Imports: ape, phangorn, Matrix, betapart, parallel, methods, raster, colorspace, vegan, sp, igraph, clustMixType, dismo, randomForest, rgeos, rgdal
Suggests: tinytest, knitr, rmarkdown, mapproj, survival, gbm, rJava
Published: 2021-05-01
Author: Barnabas H. Daru ORCID iD [aut, cre, cph], Piyal Karunarathne [aut], Klaus Schliep ORCID iD [aut], Xiaobei Zhao [ctb], Albin Sandelin [ctb], Luciano Pataro [ctb]
Maintainer: Barnabas H. Daru <darunabas at gmail.com>
BugReports: https://github.com/darunabas/phyloregion/issues
License: AGPL-3
URL: https://github.com/darunabas/phyloregion, https://darunabas.github.io/phyloregion/index.html
NeedsCompilation: no
Citation: phyloregion citation info
Materials: README NEWS
CRAN checks: phyloregion results

Documentation:

Reference manual: phyloregion.pdf
Vignettes: Benchmarking phyloregion
Fast Evolutionary Distinctiveness in R
An introduction to the phyloregion package

Downloads:

Package source: phyloregion_1.0.6.tar.gz
Windows binaries: r-devel: phyloregion_1.0.6.zip, r-release: phyloregion_1.0.6.zip, r-oldrel: phyloregion_1.0.6.zip
macOS binaries: r-release (arm64): phyloregion_1.0.6.tgz, r-oldrel (arm64): phyloregion_1.0.6.tgz, r-release (x86_64): phyloregion_1.0.6.tgz, r-oldrel (x86_64): phyloregion_1.0.6.tgz
Old sources: phyloregion archive

Reverse dependencies:

Reverse suggests: Rarefy

Linking:

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