Man pages for xtune
Regularized Regression with Feature-Specific Penalties Integrating External Information
| 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... |
| 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 |
