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
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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)
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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:

ann-library nearest-neighbors nearest-neighbours cpp

12.09 score 58 stars 184 packages 1.2k scripts 31k downloads 12 mentions 1 exports 0 dependencies

Last updated 5 months agofrom:d45c95d3ff. Checks:9 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Jan 20 2025
R-4.5-win-x86_64	OK	Jan 20 2025
R-4.5-linux-x86_64	OK	Jan 20 2025
R-4.4-win-x86_64	OK	Jan 20 2025
R-4.4-mac-x86_64	OK	Jan 20 2025
R-4.4-mac-aarch64	OK	Jan 20 2025
R-4.3-win-x86_64	OK	Jan 20 2025
R-4.3-mac-x86_64	OK	Jan 20 2025
R-4.3-mac-aarch64	OK	Jan 20 2025