Estimates the shape and volume of high-dimensional datasets and performs set operations: intersection / overlap, union, unique components, inclusion test, and hole detection. Uses stochastic geometry approach to high-dimensional kernel density estimation, support vector machine delineation, and convex hull generation. Applications include modeling trait and niche hypervolumes and species distribution modeling.
| Version: | 3.1.6 |
| Depends: | Rcpp, methods, R (≥ 3.5.0) |
| Imports: | raster,maps,MASS,geometry,ks,hitandrun,pdist,fastcluster, compiler,e1071,progress,mvtnorm,data.table,terra,sp,foreach,doParallel, parallel,ggplot2,pbapply,palmerpenguins,purrr,dplyr,caret |
| LinkingTo: | Rcpp,RcppArmadillo,progress |
| Suggests: | rgl,magick,alphahull,knitr,rmarkdown,gridExtra |
| Published: | 2025-06-15 |
| DOI: | 10.32614/CRAN.package.hypervolume |
| Author: | Benjamin Blonder [aut, cre], Cecina Babich Morrow [aut], Stuart Brown [aut], Gregoire Butruille [aut], Daniel Chen [aut], Alex Laini [aut], David J. Harris [aut], Clement Violet [aut] |
| Maintainer: | Benjamin Blonder <benjamin.blonder at berkeley.edu> |
| BugReports: | https://github.com/bblonder/hypervolume/issues |
| License: | GPL-3 |
| URL: | https://github.com/bblonder/hypervolume |
| NeedsCompilation: | yes |
| CRAN checks: | hypervolume results |