Package: RANN 2.6.2

Gregory Jefferis

RANN: Fast Nearest Neighbour Search (Wraps ANN Library) Using L2 Metric

Finds the k nearest neighbours for every point in a given dataset in O(N log N) time using Arya and Mount's ANN library (v1.1.3). There is support for approximate as well as exact searches, fixed radius searches and 'bd' as well as 'kd' trees. The distance is computed using the L2 (Euclidean) metric. Please see package 'RANN.L1' for the same functionality using the L1 (Manhattan, taxicab) metric.

Authors:Gregory Jefferis [aut, cre], Samuel E. Kemp [aut], Kirill Müller [ctb], Sunil Arya [aut, cph], David Mount [aut, cph], University of Maryland [cph]

RANN_2.6.2.tar.gz
RANN_2.6.2.zip(r-4.5)RANN_2.6.2.zip(r-4.4)RANN_2.6.2.zip(r-4.3)
RANN_2.6.2.tgz(r-4.5-x86_64)RANN_2.6.2.tgz(r-4.5-arm64)RANN_2.6.2.tgz(r-4.4-x86_64)RANN_2.6.2.tgz(r-4.4-arm64)RANN_2.6.2.tgz(r-4.3-x86_64)RANN_2.6.2.tgz(r-4.3-arm64)
RANN_2.6.2.tar.gz(r-4.5-noble)RANN_2.6.2.tar.gz(r-4.4-noble)
RANN_2.6.2.tgz(r-4.4-emscripten)RANN_2.6.2.tgz(r-4.3-emscripten)
RANN.pdf |RANN.html
RANN/json (API)
NEWS

# Install 'RANN' in R:
install.packages('RANN', repos = c('https://jefferislab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jefferislab/rann/issues

Pkgdown site:https://jefferislab.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

ann-librarynearest-neighborsnearest-neighbourscpp

12.21 score 58 stars 190 packages 1.3k scripts 38k downloads 12 mentions 1 exports 0 dependencies

Last updated 7 months agofrom:d45c95d3ff. Checks:11 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 19 2025
R-4.5-win-x86_64OKFeb 19 2025
R-4.5-mac-x86_64OKFeb 19 2025
R-4.5-mac-aarch64OKFeb 19 2025
R-4.5-linux-x86_64OKFeb 19 2025
R-4.4-win-x86_64OKFeb 19 2025
R-4.4-mac-x86_64OKFeb 19 2025
R-4.4-mac-aarch64OKFeb 19 2025
R-4.3-win-x86_64OKFeb 19 2025
R-4.3-mac-x86_64OKFeb 19 2025
R-4.3-mac-aarch64OKFeb 19 2025

Exports:nn2

Dependencies: