# Prediction Rule Ensembles

## Documentation for package ‘pre’ version 1.0.7

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

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)
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
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