Man pages for smurf
Sparse Multi-Type Regularized Feature Modeling
| coef.glmsmurf | Coefficients of Estimated Model |
| coef_reest | Coefficients of Re-estimated Model |
| deviance.glmsmurf | Deviance of Estimated Model |
| deviance_reest | Deviance of Re-estimated Model |
| fitted.glmsmurf | Fitted Values of Estimated Model |
| fitted_reest | Fitted Values of Re-estimated Model |
| glmsmurf | Fit a Multi-Type Regularized GLM Using the SMuRF Algorithm |
| glmsmurf-class | Class of Multi-Type Regularized GLMs Fitted Using the SMuRF... |
| glmsmurf.control | Control Function for Fitting a Multi-Type Regularized GLM... |
| p | Define Individual Subpenalties for a Multi-Type Regularized... |
| plot.glmsmurf | Plot Coefficients of Estimated Model |
| plot_lambda | Plot Goodness-of-Fit Statistics or Information Criteria |
| plot_reest | Plot Coefficients of Re-estimated Model |
| predict.glmsmurf | Predictions Using Estimated Model |
| predict_reest | Predictions Using Re-estimated Model |
| residuals.glmsmurf | Residuals of Estimated Model |
| residuals_reest | Residuals of Re-estimated Model |
| smurf-package | smurf: Sparse Multi-Type Regularized Feature Modeling |
| summary.glmsmurf | Summary of a Multi-Type Regularized GLM Fitted Using the... |
