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.
- Version3.1.4
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release05/01/2024
Documentation
Team
Benjamin Blonder
David J. Harris
Show author detailsRolesContributorCecina Babich Morrow
Show author detailsRolesContributorStuart Brown
Show author detailsRolesContributorGregoire Butruille
Show author detailsRolesContributorDaniel Chen
Show author detailsRolesContributorAlex Laini
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 2,321 times in the last 30 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 51 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 21,948 times in the last 365 days. The academic equivalent of having a dedicated subreddit. There are fans, and maybe even a few trolls! The day with the most downloads was Aug 22, 2024 with 197 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports22 packages
- Suggests6 packages
- Linking To3 packages
- Reverse Imports4 packages
- Reverse Suggests2 packages