JOUSBoost               JOUSBoost: A package for probability estimation
adaboost                AdaBoost Classifier
circle_data             Simulate data from the circle model.
friedman_data           Simulate data from the Friedman model
grid_probs              Function to compute predicted quantiles
index_over              Return indices to be used for jittered data in
                        oversampling
index_under             Return indices to be used in original data for
                        undersampling
jous                    Jittering with Over/Under Sampling
predict.adaboost        Create predictions from AdaBoost fit
predict.jous            Create predictions
print.adaboost          Print a summary of adaboost fit.
print.jous              Print a summary of 'jous' fit.
sonar                   Dataset of sonar measurements of rocks and
                        mines
