Package: isoboost 1.0.2
David Conde
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.
Authors:
isoboost_1.0.2.tar.gz
isoboost_1.0.2.tar.gz(r-4.7-any)isoboost_1.0.2.tar.gz(r-4.6-any)
isoboost_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
isoboost/json (API)
| # Install 'isoboost' in R: |
| install.packages('isoboost', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- motors - Diagnostic of electrical induction motors
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:c8ee1d1f0d. Checks:4 OK. Indexed: yes.
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Isotonic Boosting Classification Rules | isoboost-package isoboost |
| (Adjacent-categories) Multiple Isotonic LogitBoost | amilb amilb.data.frame amilb.default amilb.formula amilb.matrix |
| (Adjacent-categories) Simple Isotonic LogitBoost | asilb asilb.data.frame asilb.default asilb.formula asilb.matrix |
| Cumulative probabilities Multiple Isotonic LogitBoost | cmilb cmilb.data.frame cmilb.default cmilb.formula cmilb.matrix |
| Cumulative probabilities Simple Isotonic LogitBoost | csilb csilb.data.frame csilb.default csilb.formula csilb.matrix |
| Diagnostic of electrical induction motors | motors |