CVfolds                 Creates (repeated) cross-validation folds
CVscore                 Cross-validated score
IWLSCoxridge            Iterative weighted least squares algorithm for
                        Cox ridge regression.
IWLSridge               Iterative weighted least squares algorithm for
                        linear and logistic ridge regression.
Scoring                 Evaluate predictions
SigmaFromBlocks         Create penalized sample cross-product matrix
augment                 Augment data with zeros.
betasout                Coefficient estimates from (converged) IWLS fit
createXXblocks          Creates list of (unscaled) sample covariance
                        matrices
createXblocks           Create list of paired data blocks
dataXXmirmeth           Contains R-object 'dataXXmirmeth'
doubleCV                Double cross-validation for estimating
                        performance of 'multiridge'
fastCV2                 Fast cross-validation per data block
mgcv_lambda             Maximum marginal likelihood score
mlikCV                  Outer-loop cross-validation for estimating
                        performance of marginal likelihood based
                        'multiridge'
multiridge-package      Fast cross-validation for multi-penalty ridge
                        regression
optLambdas              Find optimal ridge penalties.
optLambdasWrap          Find optimal ridge penalties with sequential
                        optimization.
optLambdas_mgcv         Find optimal ridge penalties with maximimum
                        marginal likelihood
optLambdas_mgcvWrap     Find optimal ridge penalties with sequential
                        optimization.
predictIWLS             Predictions from ridge fits
setupParallel           Setting up parallel computing
