Package: Rlof 1.1.3

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.zip(r-4.5)Rlof_1.1.3.zip(r-4.4)Rlof_1.1.3.zip(r-4.3)
Rlof_1.1.3.tgz(r-4.4-x86_64)Rlof_1.1.3.tgz(r-4.4-arm64)Rlof_1.1.3.tgz(r-4.3-x86_64)Rlof_1.1.3.tgz(r-4.3-arm64)
Rlof_1.1.3.tar.gz(r-4.5-noble)Rlof_1.1.3.tar.gz(r-4.4-noble)
Rlof_1.1.3.tgz(r-4.4-emscripten)Rlof_1.1.3.tgz(r-4.3-emscripten)
Rlof.pdf |Rlof.html
Rlof/json (API)

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

Peer review:

Uses libs:
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

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

1.94 score 2 stars 44 scripts 458 downloads 1 mentions 2 exports 4 dependencies

Last updated 2 years agofrom:b95af2984a. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 13 2024
R-4.5-win-x86_64OKOct 13 2024
R-4.5-linux-x86_64OKOct 13 2024
R-4.4-win-x86_64OKOct 13 2024
R-4.4-mac-x86_64OKOct 13 2024
R-4.4-mac-aarch64OKOct 13 2024
R-4.3-win-x86_64OKOct 13 2024
R-4.3-mac-x86_64OKOct 13 2024
R-4.3-mac-aarch64OKOct 13 2024

Exports:distmclof

Dependencies:codetoolsdoParallelforeachiterators