Regularized Regression with Feature-Specific Penalties Integrating External Information

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Documentation for package ‘xtune’ version 2.0.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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 continuous outcome Y.
example	An simulated example dataset
example.multiclass	Simulated data with multi-categorical outcome
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	Regularized regression incorporating external information
xtune.control	Control function for xtune fitting