# Implements Under/Oversampling for Probability Estimation

## 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