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
Author: David Conde [aut, cre], Miguel A. Fernandez [aut], Cristina Rueda [aut], Bonifacio Salvador [aut]
Maintainer: David Conde <dconde at eio.uva.es>
License: GPL-2 | GPL-3
NeedsCompilation: no
Citation: isoboost citation info
CRAN checks: isoboost results

Documentation:

Reference manual: isoboost.pdf

Downloads:

Package source: isoboost_1.0.1.tar.gz
Windows binaries: r-devel: isoboost_1.0.1.zip, r-release: isoboost_1.0.1.zip, r-oldrel: isoboost_1.0.1.zip
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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