Package: nabor 0.5.1
nabor: Wraps 'libnabo', a Fast K Nearest Neighbour Library for Low Dimensions
An R wrapper for 'libnabo', an exact or approximate k nearest neighbour library which is optimised for low dimensional spaces (e.g. 3D). 'libnabo' has speed and space advantages over the 'ANN' library wrapped by package 'RANN'. 'nabor' includes a knn function that is designed as a drop-in replacement for 'RANN' function nn2. In addition, objects which include the k-d tree search structure can be returned to speed up repeated queries of the same set of target points.
Authors:
nabor_0.5.1.tar.gz
nabor_0.5.1.zip(r-4.5)nabor_0.5.1.zip(r-4.4)nabor_0.5.1.zip(r-4.3)
nabor_0.5.1.tgz(r-4.4-x86_64)nabor_0.5.1.tgz(r-4.4-arm64)nabor_0.5.1.tgz(r-4.3-x86_64)nabor_0.5.1.tgz(r-4.3-arm64)
nabor_0.5.1.tar.gz(r-4.5-noble)nabor_0.5.1.tar.gz(r-4.4-noble)
nabor_0.5.1.tgz(r-4.4-emscripten)nabor_0.5.1.tgz(r-4.3-emscripten)
nabor.pdf |nabor.html✨
nabor/json (API)
NEWS
| # Install 'nabor' in R: |
| install.packages('nabor', repos = c('https://jefferis.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jefferis/nabor/issues
- kcpoints - List of 3 matrices containing 3D points from Drosophila neurons
Last updated 5 years agofrom:0cd6e5c635. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 03 2024 |
| R-4.5-win-x86_64 | OK | Nov 03 2024 |
| R-4.5-linux-x86_64 | OK | Nov 03 2024 |
| R-4.4-win-x86_64 | OK | Nov 03 2024 |
| R-4.4-mac-x86_64 | OK | Nov 03 2024 |
| R-4.4-mac-aarch64 | OK | Nov 03 2024 |
| R-4.3-win-x86_64 | OK | Nov 03 2024 |
| R-4.3-mac-x86_64 | OK | Nov 03 2024 |
| R-4.3-mac-aarch64 | OK | Nov 03 2024 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Wrapper for libnabo K Nearest Neighbours C++ library | nabor-package nabor |
| List of 3 matrices containing 3D points from Drosophila neurons | kcpoints |
| Find K nearest neighbours for multiple query points | knn |
| Wrapper classes for k-NN searches enabling repeated queries of the same tree | WKNN WKNND WKNND-class WKNNF WKNNF-class |
