isoboost: Isotonic Boosting Classification Rules
David Conde, Miguel A. Fernandez, Cristina Rueda, Bonifacio Salvador · 2020
In classification problems a monotone relation between some predictors and the classes may be assumed. In this package 'isoboost' we propose new boosting algorithms, based on LogitBoost, that incorporate this isotonicity information, yielding more accurate and easily interpretable rules.