Package: densratio 0.2.1
densratio: Density Ratio Estimation
Density ratio estimation. The estimated density ratio function can be used in many applications such as anomaly detection, change-point detection, covariate shift adaptation. The implemented methods are uLSIF (Hido et al. (2011) <doi:10.1007/s10115-010-0283-2>), RuLSIF (Yamada et al. (2011) <doi:10.1162/NECO_a_00442>), and KLIEP (Sugiyama et al. (2007) <doi:10.1007/s10463-008-0197-x>).
Authors:
densratio_0.2.1.tar.gz
densratio_0.2.1.zip(r-4.5)densratio_0.2.1.zip(r-4.4)densratio_0.2.1.zip(r-4.3)
densratio_0.2.1.tgz(r-4.4-any)densratio_0.2.1.tgz(r-4.3-any)
densratio_0.2.1.tar.gz(r-4.5-noble)densratio_0.2.1.tar.gz(r-4.4-noble)
densratio_0.2.1.tgz(r-4.4-emscripten)densratio_0.2.1.tgz(r-4.3-emscripten)
densratio.pdf |densratio.html✨
densratio/json (API)
NEWS
| # Install 'densratio' in R: |
| install.packages('densratio', repos = c('https://hoxo-m.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/hoxo-m/densratio/issues
anomalydetectionmachine-learningmachine-learning-algorithmsmachine-learning-libraryr-languagestatistics
Last updated 5 years agofrom:fe2c10293f. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 11 2024 |
| R-4.5-win | OK | Nov 11 2024 |
| R-4.5-linux | OK | Nov 11 2024 |
| R-4.4-win | OK | Nov 11 2024 |
| R-4.4-mac | OK | Nov 11 2024 |
| R-4.3-win | OK | Nov 11 2024 |
| R-4.3-mac | OK | Nov 11 2024 |
Exports:densratioKLIEPRuLSIFuLSIF
Dependencies:
