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| bsnullinteract | Compute bootstrapped null interaction models |
| carrillo | Data on personality characteristics and depressive symptom severity |
| coef.gpe | Coefficients for the final prediction rule ensemble |
| coef.pre | Coefficients for the final prediction rule ensemble |
| corplot | Plotting baselearner correlations |
| cvpre | Full k-fold cross validation of a pre |
| eTerm | Wrapper Functions for terms in gpe |
| gpe | Derive a General Prediction Ensemble (gpe) |
| gpe_cv.glmnet | Default penalized trainer for gpe |
| gpe_earth | Learner Functions Generators for gpe |
| gpe_linear | Learner Functions Generators for gpe |
| gpe_sample | Sampling Function Generator for gpe |
| gpe_trees | Learner Functions Generators for gpe |
| importance | Calculate importances of baselearners (rules and linear terms) and input variables |
| interact | Calculate interaction statistics for user-specified variables |
| lTerm | Wrapper Functions for terms in gpe |
| pairplot | Create partial dependence plot for a pair of predictor variables |
| plot.pre | Plot method for class pre |
| pre | Derive a prediction rule ensemble |
| predict.gpe | Predicted Values Based on gpe Ensemble |
| predict.pre | Predicted values based on final unbiased prediction rule ensemble |
| print.gpe | Print method for objects of class pre |
| print.pre | Print method for objects of class pre |
| rTerm | Wrapper Functions for terms in gpe |
| singleplot | Create partial dependence plot for a single variable |