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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.

Versions across snapshots

VersionRepositoryFileSize
1.0.2 rolling linux/jammy R-4.5 isoboost_1.0.2.tar.gz 98.9 KiB
1.0.2 rolling linux/noble R-4.5 isoboost_1.0.2.tar.gz 98.9 KiB
1.0.2 rolling source/ R- isoboost_1.0.2.tar.gz 24.0 KiB
1.0.2 latest linux/jammy R-4.5 isoboost_1.0.2.tar.gz 98.9 KiB
1.0.2 latest linux/noble R-4.5 isoboost_1.0.2.tar.gz 98.9 KiB
1.0.2 latest source/ R- isoboost_1.0.2.tar.gz 24.0 KiB
1.0.2 2026-04-26 source/ R- isoboost_1.0.2.tar.gz 24.0 KiB
1.0.2 2026-04-23 source/ R- isoboost_1.0.2.tar.gz 24.0 KiB
1.0.2 2026-04-09 windows/windows R-4.5 isoboost_1.0.2.zip 101.9 KiB
1.0.1 2025-04-20 source/ R- isoboost_1.0.1.tar.gz 23.8 KiB

Dependencies (latest)

Imports