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:David Conde [aut, cre], Miguel A. Fernandez [aut], Cristina Rueda [aut], Bonifacio Salvador [aut]

isoboost_1.0.2.tar.gz
isoboost_1.0.2.zip(r-4.7-any)isoboost_1.0.2.zip(r-4.6-any)
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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 289 downloads 4 exports 4 dependencies

Last updated from:c8ee1d1f0d. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK108
source / vignettesOK188
linux-releaseOK113
windows-develOK63
windows-releaseOK59
wasm-releaseOK93

Exports:amilbasilbcmilbcsilb

Dependencies:Isoisotonennlsrpart

Readme and manuals

Help Manual

Help pageTopics
Isotonic Boosting Classification Rulesisoboost-package isoboost
(Adjacent-categories) Multiple Isotonic LogitBoostamilb amilb.data.frame amilb.default amilb.formula amilb.matrix
(Adjacent-categories) Simple Isotonic LogitBoostasilb asilb.data.frame asilb.default asilb.formula asilb.matrix
Cumulative probabilities Multiple Isotonic LogitBoostcmilb cmilb.data.frame cmilb.default cmilb.formula cmilb.matrix
Cumulative probabilities Simple Isotonic LogitBoostcsilb csilb.data.frame csilb.default csilb.formula csilb.matrix
Diagnostic of electrical induction motorsmotors