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hypervolume  

High Dimensional Geometry, Set Operations, Projection, and Inference Using Kernel Density Estimation, Support Vector Machines, and Convex Hulls
View on CRAN: Click here


Download and install hypervolume package within the R console
Install from CRAN:
install.packages("hypervolume")

Install from Github:
library("remotes")
install_github("cran/hypervolume")

Install by package version:
library("remotes")
install_version("hypervolume", "3.1.6")



Attach the package and use:
library("hypervolume")
Maintained by
Benjamin Blonder
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-10-26
Latest Update: 2025-06-15
Description:
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.
How to cite:
Benjamin Blonder (2013). hypervolume: High Dimensional Geometry, Set Operations, Projection, and Inference Using Kernel Density Estimation, Support Vector Machines, and Convex Hulls. R package version 3.1.6, https://cran.r-project.org/web/packages/hypervolume. Accessed 04 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:48), 0.9.9.1 (2013-10-31 09:56), 0.9.9.2 (2013-12-06 08:50), 0.9.9.4 (2013-12-17 13:37), 0.9.9.6 (2014-01-24 17:36), 0.9.9.7 (2014-01-24 22:37), 0.9.9 (2013-10-26 15:33), 1.0.0 (2014-06-30 18:55), 1.0.1 (2014-07-08 19:17), 1.0.2 (2014-08-24 23:04), 1.1.1 (2014-12-19 07:27), 1.1.2 (2015-01-16 06:42), 1.1 (2014-12-05 01:27), 1.2.2 (2015-03-12 19:34), 1.2 (2015-02-28 06:50), 1.3.0 (2015-06-03 18:17), 1.4.1 (2015-11-18 09:58), 1.4 (2015-09-24 11:58), 2.0.7 (2017-08-07 09:09), 2.0.8 (2017-11-06 22:55), 2.0.9 (2018-05-29 00:14), 2.0.10 (2018-06-17 21:02), 2.0.11 (2018-07-16 00:20), 2.0.12 (2019-12-06 07:10), 3.0.0 (2021-11-12 17:20), 3.0.1 (2022-01-09 00:32), 3.0.2 (2022-02-01 01:30), 3.0.3 (2022-05-16 22:40), 3.0.4 (2022-05-28 16:40), 3.1.0 (2022-11-16 04:50), 3.1.1 (2023-05-07 04:30), 3.1.3 (2023-09-14 12:20), 3.1.4 (2024-05-02 01:15), 3.1.5 (2025-01-17 21:50)
Other packages that cited hypervolume R package
View hypervolume citation profile
Other R packages that hypervolume depends, imports, suggests or enhances
Complete documentation for hypervolume
Functions, R codes and Examples using the hypervolume R package
Some associated functions: Hypervolume-class . HypervolumeList-class . acacia_pinus . circles . copy_param_hypervolume . estimate_bandwidth . expectation_ball . expectation_box . expectation_convex . expectation_maximal . find_optimal_occupancy_thin . get_centroid . get_centroid_weighted . get_occupancy_intersection_bootstrap . get_occupancy_stats . get_occupancy_unshared_bootstrap . get_occupancy_volume_bootstrap . get_relative_volume . get_volume . hypervolume-package . hypervolume . hypervolume_box . hypervolume_distance . hypervolume_estimate_probability . hypervolume_funnel . hypervolume_gaussian . hypervolume_general_model . hypervolume_holes . hypervolume_inclusion_test . hypervolume_join . hypervolume_n_occupancy . hypervolume_n_occupancy_permute . hypervolume_n_occupancy_test . hypervolume_n_resample . hypervolume_overlap_confidence . hypervolume_overlap_statistics . hypervolume_overlap_test . hypervolume_permute . hypervolume_project . hypervolume_prune . hypervolume_redundancy . hypervolume_resample . hypervolume_save_animated_gif . hypervolume_segment . hypervolume_set . hypervolume_set_n_intersection . hypervolume_svm . hypervolume_thin . hypervolume_threshold . hypervolume_to_data_frame . hypervolume_variable_importance . morphSnodgrassHeller . occupancy_bootstrap_gof . occupancy_filter . occupancy_to_intersection . occupancy_to_union . occupancy_to_unshared . padded_range . plot.Hypervolume . print.Hypervolume . quercus . summary.Hypervolume . to_hv_list . weight_data . 
Some associated R codes: AllClassDefinitions.R . RcppExports.R . bootstrap.R . bootstrap_n_hypervolume.R . bootstrap_seq.R . color_maps.R . copy_param_hypervolume.R . estimate_bandwidth.R . evalfrectangular.R . evalfspherical.R . find_optimal_occupancy_thin.R . get_centroid.R . get_centroid_weighted.R . get_occupancy_intersection_bootstrap.R . get_occupancy_stats.R . get_occupancy_stats_bootstrap.R . get_occupancy_unshared_bootstrap.R . get_occupancy_volume_bootstrap.R . get_relative_volume.R . get_volume.R . globals.R . hypervolume.R . hypervolume_box.R . hypervolume_distance.R . hypervolume_estimate_probability.R . hypervolume_expectation.R . hypervolume_funnel.R . hypervolume_gaussian.R . hypervolume_general_model.R . hypervolume_holes.R . hypervolume_inclusion_test.R . hypervolume_join.R . hypervolume_n_occupancy.R . hypervolume_n_occupancy_bootstrap.R . hypervolume_n_occupancy_permute.R . hypervolume_n_occupancy_test.R . hypervolume_n_resample.R . hypervolume_overlap_confidence.R . hypervolume_overlap_statistics.R . hypervolume_overlap_test.R . hypervolume_permute.R . hypervolume_plot.R . hypervolume_project.R . hypervolume_prune.R . hypervolume_redundancy.R . hypervolume_resample.R . hypervolume_save_animated_gif.R . hypervolume_segment.R . hypervolume_set.R . hypervolume_set_n_intersection.R . hypervolume_svm.R . hypervolume_thin.R . hypervolume_threshold.R . hypervolume_to_data_frame.R . hypervolume_variable_importance.R . kdtree_build.R . n_occupancy_function.R . occupancy_bootstrap_gof.R . occupancy_filter.R . occupancy_to_intersection.R . occupancy_to_union.R . occupancy_to_unshared.R . padded_range.R . progress_bar_foreach.R . repmat.R . samplers.R . to_hv_list.R . volume_calculation.R . weight_data.R . weighted_bootstrap.R .  Full hypervolume package functions and examples
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Maintainer: Yi Liu (view profile)

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