isoboost-package: Isotonic Boosting Classification Rules

Description Details Author(s)

Description

In this package we present new boosting classification rules based on LogitBoost when it can be assumed that higher (or lower) values of some predictors are related to higher levels of the response.

Details

Package: isoboost

Type: Package

Version: 1.0.0

Date: 2020-01-14

License: GPL-2 | GPL-3

For a complete list of functions with individual help pages, use library(help = "isoboost").

Author(s)

David Conde, Miguel A. Fernandez, Cristina Rueda, Bonifacio Salvador

Maintainer: David Conde <dconde@eio.uva.es>


isoboost documentation built on March 26, 2020, 9:14 p.m.