Package: densratio 0.3.1
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_0.3.1.tar.gz
densratio_0.3.1.zip(r-4.7)densratio_0.3.1.zip(r-4.6)densratio_0.3.1.zip(r-4.5)
densratio_0.3.1.tgz(r-4.6-any)densratio_0.3.1.tgz(r-4.5-any)
densratio_0.3.1.tar.gz(r-4.7-any)densratio_0.3.1.tar.gz(r-4.6-any)
densratio_0.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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
Pkgdown/docs site:https://hoxo-m.github.io
anomaly-detectionmachine-learningstatistics
Last updated from:7219a48aef. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 135 | ||
| source / vignettes | OK | 155 | ||
| linux-release-x86_64 | OK | 120 | ||
| macos-release-arm64 | OK | 162 | ||
| macos-oldrel-arm64 | OK | 168 | ||
| windows-devel | OK | 93 | ||
| windows-release | OK | 77 | ||
| windows-oldrel | OK | 114 | ||
| wasm-release | OK | 96 |
Exports:densratioKLIEPRuLSIFuLSIF
Dependencies:
