Man pages for porridge
Ridge-Type Penalized Estimation of a Potpourri of Models

genRidgePenaltyMatPenalty parameter matrix for generalized ridge regression.
makeFoldsGLMcvGenerate folds for cross-validation of generalized linear...
optPenaltyGGMmixture.kCVautoAutomatic search for optimal penalty parameter (mixture of...
optPenaltyGLM.kCVautoAutomatic search for optimal penalty parameters of the...
optPenaltyGLMmultiT.kCVautoAutomatic search for optimal penalty parameters of the...
optPenaltyPgen.kCVauto.bandedAutomatic search for optimal penalty parameter (generalized...
optPenaltyPgen.kCVauto.groupsAutomatic search for optimal penalty parameter (generalized...
optPenaltyPmultiT.kCVautoAutomatic search for optimal penalty parameter (ridge...
optPenaltyPrepEdiag.kCVautoAutomatic search for optimal penalty parameters (for...
optPenaltyPrep.kCVautoAutomatic search for optimal penalty parameters (for...
porridge-packageRidge-Type Penalized Estimation of a Potpourri of Models.
ridgeGGMmixtureRidge penalized estimation of a mixture of GGMs.
ridgeGLMRidge estimation of generalized linear models.
ridgeGLMdofDegrees of freedom of the generalized ridge estimator.
ridgeGLMmultiTMulti-targeted ridge estimation of generalized linear models.
ridgePgenRidge estimation of the inverse covariance matrix with...
ridgePgen.kCVK-fold cross-validated loglikelihood of ridge precision...
ridgePgen.kCV.bandedK-fold cross-validated loglikelihood of ridge precision...
ridgePgen.kCV.groupsK-fold cross-validated loglikelihood of ridge precision...
ridgePmultiTRidge estimation of the inverse covariance matrix with...
ridgePrepRidge penalized estimation of the precision matrix from data...
ridgePrepEdiagRidge penalized estimation of the precision matrix from data...
porridge documentation built on Oct. 16, 2023, 1:06 a.m.