Flexible Co-Data Learning for High-Dimensional Prediction

Documentation for package ‘ecpc’ version 3.0

ecpc-package	Flexible Co-Data Learning for High-Dimensional Prediction
createCon	Create a list of constraints for co-data weight estimation
createGroupset	Create a group set (groups) of variables
createS	Create a generalised penalty matrix
createZforGroupset	Create a co-data matrix Z for a group set
createZforSplines	Create a co-data matrix Z of splines
cv.ecpc	Cross-validation for 'ecpc'
ecpc	Fit adaptive multi-group ridge GLM with hypershrinkage
hierarchicalLasso	Fit hierarchical lasso using LOG penalty
obtainHierarchy	Obtain hierarchy
postSelect	Perform posterior selection
produceFolds	Produce folds
simDat	Simulate data
splitMedian	Discretise continuous data in multiple granularities
visualiseGroupset	Visualise a group set
visualiseGroupsetweights	Visualise estimated group set weights
visualiseGroupweights	Visualise estimated group weights