| 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 |