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:
Rlof_1.1.3.tar.gz
Rlof_1.1.3.zip(r-4.7)Rlof_1.1.3.zip(r-4.6)Rlof_1.1.3.zip(r-4.5)
Rlof_1.1.3.tgz(r-4.6-x86_64)Rlof_1.1.3.tgz(r-4.6-arm64)Rlof_1.1.3.tgz(r-4.5-x86_64)Rlof_1.1.3.tgz(r-4.5-arm64)
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://yingsonghu.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:b95af2984a. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 131 | ||
| linux-devel-x86_64 | OK | 93 | ||
| source / vignettes | OK | 160 | ||
| linux-release-arm64 | OK | 98 | ||
| linux-release-x86_64 | OK | 86 | ||
| macos-release-arm64 | OK | 121 | ||
| macos-release-x86_64 | OK | 271 | ||
| macos-oldrel-arm64 | OK | 166 | ||
| macos-oldrel-x86_64 | OK | 239 | ||
| windows-devel | OK | 99 | ||
| windows-release | OK | 66 | ||
| windows-oldrel | OK | 76 | ||
| wasm-release | OK | 92 |
Dependencies:codetoolsdoParallelforeachiterators
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| R Parallel Implementation of Local Outlier Factor(LOF) | Rlof-package Rlof |
| Distance Matrix Computation with multi-threads | distmc |
| Local Outlier Factor | lof |
