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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

Documentation:

Reference manual: densratio.pdf
Vignettes: An R Package for Density Ratio Estimation

Downloads:

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

Reverse dependencies:

Reverse depends: APPEstimation

Linking:

Please use the canonical form https://CRAN.R-project.org/package=densratio to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.