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)
explain                 Explain predictions from final prediction rule
                        ensemble
gpe                     Derive a General Prediction Ensemble (gpe)
gpe_cv.glmnet           Default penalized trainer 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.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)
maxdepth_sampler        Sampling function generator for specifying
                        varying maximum tree depth in a prediction rule
                        ensemble (pre)
mi_mean                 Compute the average dataset over imputed
                        datasets.
mi_pre                  Fit a prediction rule ensemble to
                        multiply-imputed data (experimental)
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
prune_pre               Get the optimal lambda and gamma parameter
                        values for an ensemble of given size
rTerm                   Wrapper Functions for terms in gpe
rare_level_sampler      Dealing with rare factor levels in fitting
                        prediction rule ensembles.
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
