| bsnullinteract | Compute bootstrapped null interaction prediction rule ensembles |
| caret_pre_model | Model set up for train function of package caret |
| carrillo | Data on personality characteristics and depressive symptom severity |
| coef.gpe | Coefficients for a General Prediction Ensemble (gpe) |
| coef.pre | Coefficients for the final prediction rule ensemble |
| corplot | Plot correlations between baselearners in a prediction rule ensemble (pre) |
| cvpre | Full k-fold cross validation of a prediction rule ensemble (pre) |
| eTerm | Wrapper Functions for terms in gpe |
| explain | Explain predictions from final prediction rule ensemble |
| 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_rules_pre | Get rule learner for gpe which mimics behavior of pre |
| gpe_sample | Sampling Function Generator for gpe |
| gpe_trees | Learner Functions Generators for gpe |
| importance | Calculate importances of baselearners and input variables in a prediction rule ensemble (pre) |
| importance.pre | Calculate importances of baselearners and input variables in a prediction rule ensemble (pre) |
| interact | Calculate interaction statistics for variables in a prediction rule ensemble (pre) |
| lTerm | Wrapper Functions for terms in gpe |
| maxdepth_sampler | Sampling function generator for specifying varying maximum tree depth in a prediction rule ensemble (pre) |
| pairplot | Create partial dependence plot for a pair of predictor variables in a prediction rule ensemble (pre) |
| 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 prediction rule ensemble |
| print.gpe | Print a General Prediction Ensemble (gpe) |
| print.pre | Print method for objects of class pre |
| rare_level_sampler | Dealing with rare factor levels in fitting prediction rule ensembles. |
| rTerm | Wrapper Functions for terms in gpe |
| singleplot | Create partial dependence plot for a single variable in a prediction rule ensemble (pre) |
| summary.gpe | Summary method for a General Prediction Ensemble (gpe) |
| summary.pre | Summary method for objects of class pre |