# Regularized Regression with Feature-Specific Penalties Integrating External Information

## 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