Prediction Rule Ensembles

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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