isoboost: Isotonic Boosting Classification Rules

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.

Package details

AuthorDavid Conde [aut, cre], Miguel A. Fernandez [aut], Cristina Rueda [aut], Bonifacio Salvador [aut]
MaintainerDavid Conde <>
LicenseGPL-2 | GPL-3
Package repositoryView on CRAN
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isoboost documentation built on March 26, 2020, 9:14 p.m.