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: 1.0.1
Imports: Iso, isotone, rpart
Published: 2021-05-01
DOI: 10.32614/CRAN.package.isoboost
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_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): isoboost_1.0.1.tgz, r-oldrel (arm64): isoboost_1.0.1.tgz, r-release (x86_64): isoboost_1.0.1.tgz, r-oldrel (x86_64): isoboost_1.0.1.tgz
Old sources: isoboost archive


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