bsnullinteract | Compute bootstrapped null interaction prediction rule... |
caret_pre_model | Model set up for train function of package caret |
carrillo | Data on personality characteristics and depressive symptom... |
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... |
cvpre | Full k-fold cross validation of a prediction rule ensemble... |
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... |
interact | Calculate interaction statistics for variables in a... |
maxdepth_sampler | Sampling function generator for specifying varying maximum... |
mi_mean | Compute the average dataset over imputed datasets. |
mi_pre | Fit a prediction rule ensemble to multiply-imputed data... |
pairplot | Create partial dependence plot for a pair of predictor... |
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... |
rare_level_sampler | Dealing with rare factor levels in fitting prediction rule... |
rTerm | Wrapper Functions for terms in gpe |
singleplot | Create partial dependence plot for a single variable in a... |
summary.gpe | Summary method for a General Prediction Ensemble (gpe) |
summary.pre | Summary method for objects of class pre |
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