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:Siddharth Jain and Prabhanjan Tattar

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-4.5-any)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'))
Datasets:
  • stiff - The Board Stiffness Dataset

On CRAN:

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

1.00 score 3 scripts 127 downloads 1 exports 0 dependencies

Last updated 8 years agofrom:23fe068814. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 14 2025
R-4.5-winOKFeb 14 2025
R-4.5-macOKFeb 14 2025
R-4.5-linuxOKFeb 14 2025
R-4.4-winOKFeb 14 2025
R-4.4-macOKFeb 14 2025
R-4.3-winOKFeb 14 2025
R-4.3-macOKFeb 14 2025

Exports:LOCI

Dependencies: