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
DESCRIPTION |NEWS
card.svg |card.png
RANN/json (API)

# 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

12.76 score 64 stars 260 packages 2.0k scripts 58k downloads 12 mentions 1 exports 0 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64OK118
linux-devel-x86_64OK107
source / vignettesOK151
linux-release-arm64OK130
linux-release-x86_64OK113
macos-release-arm64OK216
macos-release-x86_64OK271
macos-oldrel-arm64OK134
macos-oldrel-x86_64OK336
windows-develOK126
windows-releaseOK98
windows-oldrelOK85
wasm-releaseOK95

Exports:nn2

Dependencies: