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>).

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

Downloads:

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 (arm64): densratio_0.2.1.tgz, r-release (x86_64): densratio_0.2.1.tgz, r-oldrel: densratio_0.2.1.tgz
Old sources: densratio archive

Reverse dependencies:

Reverse depends: APPEstimation

Linking:

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