Flexible Co-Data Learning for High-Dimensional Prediction

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Documentation for package ‘ecpc’ version 3.1.1

• DESCRIPTION file.

Help Pages

ecpc-package	Flexible Co-Data Learning for High-Dimensional Prediction
coef.ecpc	Obtain coefficients from 'ecpc' object
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
penalties	Obtain coefficients from 'ecpc' object
plot.ecpc	Plot an 'ecpc' object
postSelect	Perform posterior selection
predict.ecpc	Predict for new samples for 'ecpc' object
print.ecpc	Print summary of 'ecpc' object
produceFolds	Produce folds
simDat	Simulate data
splitMedian	Discretise continuous data in multiple granularities
summary.ecpc	Print summary of 'ecpc' object
visualiseGroupset	Visualise a group set
visualiseGroupsetweights	Visualise estimated group set weights
visualiseGroupweights	Visualise estimated group weights