| genRidgePenaltyMat | Penalty parameter matrix for generalized ridge regression. | 
| makeFoldsGLMcv | Generate folds for cross-validation of generalized linear... | 
| optPenaltyGGMmixture.kCVauto | Automatic search for optimal penalty parameter (mixture of... | 
| optPenaltyGLM.kCVauto | Automatic search for optimal penalty parameters of the... | 
| optPenaltyGLMmultiT.kCVauto | Automatic search for optimal penalty parameters of the... | 
| optPenaltyPgen.kCVauto.banded | Automatic search for optimal penalty parameter (generalized... | 
| optPenaltyPgen.kCVauto.groups | Automatic search for optimal penalty parameter (generalized... | 
| optPenaltyPmultiT.kCVauto | Automatic search for optimal penalty parameter (ridge... | 
| optPenaltyPrepEdiag.kCVauto | Automatic search for optimal penalty parameters (for... | 
| optPenaltyPrep.kCVauto | Automatic search for optimal penalty parameters (for... | 
| porridge-package | Ridge-Type Penalized Estimation of a Potpourri of Models. | 
| ridgeGGMmixture | Ridge penalized estimation of a mixture of GGMs. | 
| ridgeGLM | Ridge estimation of generalized linear models. | 
| ridgeGLMdof | Degrees of freedom of the generalized ridge estimator. | 
| ridgeGLMmultiT | Multi-targeted ridge estimation of generalized linear models. | 
| ridgePgen | Ridge estimation of the inverse covariance matrix with... | 
| ridgePgen.kCV | K-fold cross-validated loglikelihood of ridge precision... | 
| ridgePgen.kCV.banded | K-fold cross-validated loglikelihood of ridge precision... | 
| ridgePgen.kCV.groups | K-fold cross-validated loglikelihood of ridge precision... | 
| ridgePmultiT | Ridge estimation of the inverse covariance matrix with... | 
| ridgePrep | Ridge penalized estimation of the precision matrix from data... | 
| ridgePrepEdiag | Ridge penalized estimation of the precision matrix from data... | 
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