# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "g.ridge" in publications use:' type: software license: GPL-2.0-only title: 'g.ridge: Generalized Ridge Regression for Linear Models' version: '1.0' doi: 10.32614/CRAN.package.g.ridge abstract: Ridge regression due to Hoerl and Kennard (1970) and generalized ridge regression due to Yang and Emura (2017) 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: - family-names: Emura given-names: Takeshi email: takeshiemura@gmail.com repository: https://takeshiemura1.r-universe.dev commit: f91de599e398bfd7a3ac3ad7a5025a5d47af0b14 date-released: '2023-12-08' contact: - family-names: Emura given-names: Takeshi email: takeshiemura@gmail.com