The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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 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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=isoboost to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.