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isoboost  

Isotonic Boosting Classification Rules
View on CRAN: Click here


Download and install isoboost package within the R console
Install from CRAN:
install.packages("isoboost")

Install from Github:
library("remotes")
install_github("cran/isoboost")

Install by package version:
library("remotes")
install_version("isoboost", "1.0.1")



Attach the package and use:
library("isoboost")
Maintained by
David Conde
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-19
Latest Update: 2021-05-01
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.
How to cite:
David Conde (2020). isoboost: Isotonic Boosting Classification Rules. R package version 1.0.1, https://cran.r-project.org/web/packages/isoboost. Accessed 06 Jan. 2025.
Previous versions and publish date:
1.0.0 (2020-01-19 17:30)
Other packages that cited isoboost R package
View isoboost citation profile
Other R packages that isoboost depends, imports, suggests or enhances
Complete documentation for isoboost
Functions, R codes and Examples using the isoboost R package
Some associated functions: amilb . asilb . cmilb . csilb . isoboost-internal . isoboost-package . motors . 
Some associated R codes: amilb.R . asilb.R . checks.R . cmilb.R . csilb.R . estimate.R . pavap.R .  Full isoboost package functions and examples
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