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-4.7)RANN_2.6.2.zip(r-4.6)RANN_2.6.2.zip(r-4.5)
RANN_2.6.2.tgz(r-4.6-x86_64)RANN_2.6.2.tgz(r-4.6-arm64)RANN_2.6.2.tgz(r-4.5-x86_64)RANN_2.6.2.tgz(r-4.5-arm64)
RANN_2.6.2.tar.gz(r-4.7-arm64)RANN_2.6.2.tar.gz(r-4.7-x86_64)RANN_2.6.2.tar.gz(r-4.6-arm64)RANN_2.6.2.tar.gz(r-4.6-x86_64)
RANN_2.6.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
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/docs site:https://jefferislab.github.io

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

On CRAN:

Conda:

ann-librarynearest-neighborsnearest-neighbourscpp

12.75 score 63 stars 260 packages 1.8k scripts 63k downloads 12 mentions 1 exports 0 dependencies

Last updated from:398f06ad4b. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK123
linux-devel-x86_64OK112
source / vignettesOK144
linux-release-arm64OK104
linux-release-x86_64OK108
macos-release-arm64OK120
macos-release-x86_64OK260
macos-oldrel-arm64OK155
macos-oldrel-x86_64OK291
windows-develOK95
windows-releaseOK78
windows-oldrelOK81
wasm-releaseOK89

Exports:nn2

Dependencies: