cran. To fix this you can add URL: https://cran.r-universe.dev/Rnanoflann to the package DESCRIPTION file. See also theR-universe documentation.Package: Rnanoflann 0.0.3
Rnanoflann: Extremely Fast Nearest Neighbor Search
Finds the k nearest neighbours for every point in a given dataset using Jose Luis' 'nanoflann' library. There is support for exact searches, fixed radius searches with 'kd' trees and two distances, the 'Euclidean' and 'Manhattan'. For more information see <https://github.com/jlblancoc/nanoflann>. Also, the 'nanoflann' library is exported and ready to be used via the linking to mechanism.
Authors:
Rnanoflann_0.0.3.tar.gz
Rnanoflann_0.0.3.tar.gz(r-4.7-arm64)Rnanoflann_0.0.3.tar.gz(r-4.7-x86_64)Rnanoflann_0.0.3.tar.gz(r-4.6-arm64)Rnanoflann_0.0.3.tar.gz(r-4.6-x86_64)
Rnanoflann_0.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
Rnanoflann/json (API)
NEWS
| # Install 'Rnanoflann' in R: |
| install.packages('Rnanoflann', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/manospapadakis95/rnanoflann/issues
Last updated from:60b063ceef. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 138 | ||
| linux-devel-x86_64 | OK | 122 | ||
| source / vignettes | OK | 213 | ||
| linux-release-arm64 | OK | 148 | ||
| linux-release-x86_64 | OK | 127 | ||
| wasm-release | OK | 119 |
Exports:nn
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Extremely Fast Nearest Neighbor Search | Rnanoflann-package Rnanoflann |
| k-nearest neighbours search | nn |
