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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