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>).
Version: | 0.2.1 |
Imports: | utils |
Suggests: | graphics, knitr, mvtnorm, rmarkdown, stats, testthat |
Published: | 2019-06-30 |
Author: | Koji Makiyama [aut, cre] |
Maintainer: | Koji Makiyama <hoxo.smile at gmail.com> |
BugReports: | https://github.com/hoxo-m/densratio/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/hoxo-m/densratio |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | densratio results |
Reference manual: | densratio.pdf |
Vignettes: |
An R Package for Density Ratio Estimation |
Package source: | densratio_0.2.1.tar.gz |
Windows binaries: | r-devel: densratio_0.2.1.zip, r-release: densratio_0.2.1.zip, r-oldrel: densratio_0.2.1.zip |
macOS binaries: | r-release: densratio_0.2.1.tgz, r-oldrel: densratio_0.2.1.tgz |
Old sources: | densratio archive |
Reverse depends: | APPEstimation |
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