Package: g.ridge 1.0
g.ridge: Generalized Ridge Regression for Linear Models
Ridge regression due to Hoerl and Kennard (1970)<doi:10.1080/00401706.1970.10488634> and generalized ridge regression due to Yang and Emura (2017)<doi:10.1080/03610918.2016.1193195> with optimized tuning parameters. These ridge regression estimators (the HK estimator and the YE estimator) are computed by minimizing the cross-validated mean squared errors. Both the ridge and generalized ridge estimators are applicable for high-dimensional regressors (p>n), where p is the number of regressors, and n is the sample size.
Authors:
g.ridge_1.0.tar.gz
g.ridge_1.0.zip(r-4.7)g.ridge_1.0.zip(r-4.6)g.ridge_1.0.zip(r-4.5)
g.ridge_1.0.tgz(r-4.6-any)g.ridge_1.0.tgz(r-4.5-any)
g.ridge_1.0.tar.gz(r-4.7-any)g.ridge_1.0.tar.gz(r-4.6-any)
g.ridge_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
g.ridge/json (API)
| # Install 'g.ridge' in R: |
| install.packages('g.ridge', repos = c('https://takeshiemura1.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:f91de599e3. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 98 | ||
| source / vignettes | OK | 124 | ||
| linux-release-x86_64 | OK | 92 | ||
| macos-release-arm64 | OK | 86 | ||
| macos-oldrel-arm64 | OK | 111 | ||
| windows-devel | OK | 59 | ||
| windows-release | OK | 62 | ||
| windows-oldrel | OK | 53 | ||
| wasm-release | OK | 78 |
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| g.ridge (generalized ridge regression) | g.ridge |
| GCV (generalized cross-validation) | GCV |
| X.mat (generating a design matrix) | X.mat |
