| 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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