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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=hypervolume to link to this page.
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