Package: SMLoutliers 0.1
SMLoutliers: Outlier Detection Using Statistical and Machine Learning Methods
Local Correlation Integral (LOCI) method for outlier identification is implemented here. The LOCI method developed here is invented in Breunig, et al. (2000), see <doi:10.1145/342009.335388>.
Authors:
SMLoutliers_0.1.tar.gz
SMLoutliers_0.1.zip(r-4.5)SMLoutliers_0.1.zip(r-4.4)SMLoutliers_0.1.zip(r-4.3)
SMLoutliers_0.1.tgz(r-4.4-any)SMLoutliers_0.1.tgz(r-4.3-any)
SMLoutliers_0.1.tar.gz(r-4.5-noble)SMLoutliers_0.1.tar.gz(r-4.4-noble)
SMLoutliers_0.1.tgz(r-4.4-emscripten)SMLoutliers_0.1.tgz(r-4.3-emscripten)
SMLoutliers.pdf |SMLoutliers.html✨
SMLoutliers/json (API)
| # Install 'SMLoutliers' in R: |
| install.packages('SMLoutliers', repos = c('https://siddjain24.r-universe.dev', 'https://cloud.r-project.org')) |
- stiff - The Board Stiffness Dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:23fe068814. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 16 2024 |
| R-4.5-win | OK | Nov 16 2024 |
| R-4.5-linux | OK | Nov 16 2024 |
| R-4.4-win | OK | Nov 16 2024 |
| R-4.4-mac | OK | Nov 16 2024 |
| R-4.3-win | OK | Nov 16 2024 |
| R-4.3-mac | OK | Nov 16 2024 |
Exports:LOCI
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| An R package for identifying outliers using statistical and machine learning methods | SMLoutliers-package SMLoutliers |
| Local Correlation Integral | LOCI |
| The Board Stiffness Dataset | stiff |
