Implements Under/Oversampling for Probability Estimation

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Documentation for package ‘JOUSBoost’ version 2.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

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.
print.jous	Print a summary of 'jous' fit.
sonar	Dataset of sonar measurements of rocks and mines