The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Calculating predictive model performance measures adjusted for predictor distributions using density ratio method (Sugiyama et al., (2012, ISBN:9781139035613)). L1 and L2 error for continuous outcome and C-statistics for binomial outcome are computed.
| Version: | 0.1.1 |
| Depends: | densratio |
| Published: | 2018-01-05 |
| DOI: | 10.32614/CRAN.package.APPEstimation |
| Author: | Eisuke Inoue, Hajime Uno |
| Maintainer: | Eisuke Inoue <eisuke.inoue at marianna-u.ac.jp> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | APPEstimation results |
| Reference manual: | APPEstimation.pdf |
| Package source: | APPEstimation_0.1.1.tar.gz |
| Windows binaries: | r-devel: APPEstimation_0.1.1.zip, r-release: APPEstimation_0.1.1.zip, r-oldrel: APPEstimation_0.1.1.zip |
| macOS binaries: | r-release (arm64): APPEstimation_0.1.1.tgz, r-oldrel (arm64): APPEstimation_0.1.1.tgz, r-release (x86_64): APPEstimation_0.1.1.tgz, r-oldrel (x86_64): APPEstimation_0.1.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=APPEstimation 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.
Health stats visible at Monitor.