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.

Version: 1.0.0
Imports: Iso, isotone, rpart
Published: 2020-01-19
Author: David Conde [aut, cre], Miguel A. Fernandez [aut], Cristina Rueda [aut], Bonifacio Salvador [aut]
Maintainer: David Conde <dconde at>
License: GPL-2 | GPL-3
NeedsCompilation: no
Citation: isoboost citation info
CRAN checks: isoboost results


Reference manual: isoboost.pdf
Package source: isoboost_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: isoboost_1.0.0.tgz, r-oldrel: isoboost_1.0.0.tgz


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