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hypervolume: High Dimensional Geometry, Set Operations, Projection, and Inference Using Kernel Density Estimation, Support Vector Machines, and Convex Hulls

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: 3.1.4
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: 2024-05-01
DOI: 10.32614/CRAN.package.hypervolume
Author: Benjamin Blonder, with contributions from Cecina Babich Morrow, Stuart Brown, Gregoire Butruille, Daniel Chen, Alex Laini, and David J. Harris
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:

Reference manual: hypervolume.pdf
Vignettes: Hypervolume-Resampling
Introduction to occupancy

Downloads:

Package source: hypervolume_3.1.4.tar.gz
Windows binaries: r-devel: hypervolume_3.1.4.zip, r-release: hypervolume_3.1.4.zip, r-oldrel: hypervolume_3.1.4.zip
macOS binaries: r-release (arm64): hypervolume_3.1.4.tgz, r-oldrel (arm64): hypervolume_3.1.4.tgz, r-release (x86_64): hypervolume_3.1.4.tgz, r-oldrel (x86_64): hypervolume_3.1.4.tgz
Old sources: hypervolume archive

Reverse dependencies:

Reverse imports: BAT, cati, Ostats, raptr
Reverse suggests: ENMTools, TreeDist

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.