Package: dobin 1.0.4
Sevvandi Kandanaarachchi
dobin: Dimension Reduction for Outlier Detection
A dimension reduction technique for outlier detection. DOBIN: a Distance based Outlier BasIs using Neighbours, constructs a set of basis vectors for outlier detection. This is not an outlier detection method; rather it is a pre-processing method for outlier detection. It brings outliers to the fore-front using fewer basis vectors (Kandanaarachchi, Hyndman 2020) <doi:10.1080/10618600.2020.1807353>.
Authors:
dobin_1.0.4.tar.gz
dobin_1.0.4.zip(r-4.5)dobin_1.0.4.zip(r-4.4)dobin_1.0.4.zip(r-4.3)
dobin_1.0.4.tgz(r-4.4-any)dobin_1.0.4.tgz(r-4.3-any)
dobin_1.0.4.tar.gz(r-4.5-noble)dobin_1.0.4.tar.gz(r-4.4-noble)
dobin_1.0.4.tgz(r-4.4-emscripten)dobin_1.0.4.tgz(r-4.3-emscripten)
dobin.pdf |dobin.html✨
dobin/json (API)
| # Install 'dobin' in R: |
| install.packages('dobin', repos = c('https://sevvandi.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/sevvandi/dobin/issues
detectiondimensionoutlierreduction
Last updated 2 years agofrom:d2724868b1. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-win | OK | Nov 20 2024 |
| R-4.5-linux | OK | Nov 20 2024 |
| R-4.4-win | OK | Nov 20 2024 |
| R-4.4-mac | OK | Nov 20 2024 |
| R-4.3-win | OK | Nov 20 2024 |
| R-4.3-mac | OK | Nov 20 2024 |
Dependencies:clicolorspacedbscanfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpracmaR6RColorBrewerRcpprlangscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Plots the first two components of the dobin space. | autoplot.dobin |
| Computes a set of basis vectors for outlier detection. | dobin |