Regularized Regression with Differential Penalties Integrating External Information


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Documentation for package ‘xtune’ version 0.1.0

Help Pages

coef.xtune Extract model coefficients from fitted 'xtune' object
diet Simulated diet data to predict weight loss
estimateVariance Estimate noise variance given predictor X and response Y.
example An simulated example dataset
gene Simulated gene data to predict weight loss
misclassification Calculate misclassification error
mse Calculate mean square error
predict.xtune Model predictions based on fitted 'xtune' object
xtune Tuning differential shrinkage parameters in penalized regression based on external information.
xtune.control Control function for xtune fitting