Package: Rlof 1.1.3

Yingsong Hu

Rlof: R Parallel Implementation of Local Outlier Factor(LOF)

R parallel implementation of Local Outlier Factor(LOF) which uses multiple CPUs to significantly speed up the LOF computation for large datasets. (Note: The overall performance depends on the computers especially the number of the cores).It also supports multiple k values to be calculated in parallel, as well as various distance measures in addition to the default Euclidean distance.

Authors:Yingsong Hu, Wayne Murray and Yin Shan, Australia.

Rlof_1.1.3.tar.gz
Rlof_1.1.3.tar.gz(r-4.7-arm64)Rlof_1.1.3.tar.gz(r-4.7-x86_64)Rlof_1.1.3.tar.gz(r-4.6-arm64)Rlof_1.1.3.tar.gz(r-4.6-x86_64)
Rlof_1.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
Rlof/json (API)

# Install 'Rlof' in R:
install.packages('Rlof', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openmp

2.24 score 2 stars 87 scripts 677 downloads 1 mentions 2 exports 4 dependencies

Last updated from:b95af2984a. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK107
linux-devel-x86_64OK108
source / vignettesOK216
linux-release-arm64OK103
linux-release-x86_64OK99
wasm-releaseOK100

Exports:distmclof

Dependencies:codetoolsdoParallelforeachiterators