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