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.

Version: 0.0.2
Imports: Rcpp (≥ 1.0.11)
LinkingTo: Rcpp, RcppArmadillo
Published: 2023-12-05
Author: Manos Papadakis [aut, cre, cph], Jose Luis Blanco [aut, cph], Michail Tsagris [ctb]
Maintainer: Manos Papadakis <papadakm95 at gmail.com>
BugReports: https://github.com/ManosPapadakis95/Rnanoflann/issues
License: GPL (≥ 3)
Copyright: 'nanoflann' library is copyright Jose Luis Blanco. See file COPYRIGHT for details.
URL: https://github.com/ManosPapadakis95/Rnanoflann
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: Rnanoflann results

Documentation:

Reference manual: Rnanoflann.pdf

Downloads:

Package source: Rnanoflann_0.0.2.tar.gz
Windows binaries: r-devel: Rnanoflann_0.0.2.zip, r-release: Rnanoflann_0.0.2.zip, r-oldrel: Rnanoflann_0.0.2.zip
macOS binaries: r-release (arm64): Rnanoflann_0.0.2.tgz, r-oldrel (arm64): Rnanoflann_0.0.2.tgz, r-release (x86_64): Rnanoflann_0.0.2.tgz
Old sources: Rnanoflann archive

Reverse dependencies:

Reverse imports: Compositional, Directional, Rfast2

Linking:

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