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:Koji Makiyama [aut, cre]

densratio_0.2.1.tar.gz
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densratio_0.2.1.tgz(r-4.4-any)densratio_0.2.1.tgz(r-4.3-any)
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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'))

Peer review:

Bug tracker:https://github.com/hoxo-m/densratio/issues

On CRAN:

anomalydetectionmachine-learningmachine-learning-algorithmsmachine-learning-libraryr-languagestatistics

4 exports 21 stars 2.19 score 0 dependencies 1 dependents 38 scripts 216 downloads

Last updated 5 years agofrom:fe2c10293f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-winOKSep 12 2024
R-4.5-linuxOKSep 12 2024
R-4.4-winOKSep 12 2024
R-4.4-macOKSep 12 2024
R-4.3-winOKSep 12 2024
R-4.3-macOKSep 12 2024

Exports:densratioKLIEPRuLSIFuLSIF

Dependencies:

An R Package for Density Ratio Estimation

Rendered fromdensratio.Rmdusingknitr::rmarkdownon Sep 12 2024.

Last update: 2019-06-30
Started: 2016-03-28