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isoboost (version 1.0.1)

Isotonic Boosting Classification Rules

Description

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.

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Version

Install

install.packages('isoboost')

Monthly Downloads

215

Version

1.0.1

License

GPL-2 | GPL-3

Maintainer

David Conde

Last Published

May 1st, 2021

Functions in isoboost (1.0.1)

amilb

(Adjacent-categories) Multiple Isotonic LogitBoost
cmilb

Cumulative probabilities Multiple Isotonic LogitBoost
isoboost-internal

Internal isoboost functions
csilb

Cumulative probabilities Simple Isotonic LogitBoost
isoboost-package

Isotonic Boosting Classification Rules
asilb

(Adjacent-categories) Simple Isotonic LogitBoost
motors

Diagnostic of electrical induction motors