Implements Under/Oversampling for Probability Estimation

Documentation for package ‘JOUSBoost’ version 1.0.0

JOUSBoost-package	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
JOUSBoost	JOUSBoost: A package for probability estimation
predict.AdaBoost	Create predictions from AdaBoost fit
predict.JOUS	Create predictions
print.AdaBoost	Print a summary of adaBoost fit.
sonar	Dataset of sonar measurements of rocks and mines