Package: rbooster 1.1.0

Fatih Saglam

rbooster: AdaBoost Framework for Any Classifier

This is a simple package which provides a function that boosts pre-ready or custom-made classifiers. Package uses Discrete AdaBoost (<doi:10.1006/jcss.1997.1504>) and Real AdaBoost (<doi:10.1214/aos/1016218223>) for two class, SAMME (<doi:10.4310/SII.2009.v2.n3.a8>) and SAMME.R (<doi:10.4310/SII.2009.v2.n3.a8>) for multiclass classification.

Authors:Fatih Saglam [aut, cre], Hasan Bulut [ctb]

rbooster_1.1.0.tar.gz
rbooster_1.1.0.tar.gz(r-4.5-noble)rbooster_1.1.0.tar.gz(r-4.4-noble)
rbooster_1.1.0.tgz(r-4.4-emscripten)rbooster_1.1.0.tgz(r-4.3-emscripten)
rbooster.pdf |rbooster.html
rbooster/json (API)

# Install 'rbooster' in R:
install.packages('rbooster', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

2.70 score 6 scripts 162 downloads 17 exports 68 dependencies

Last updated 3 years agofrom:451507fcea. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 18 2024
R-4.5-linuxOKNov 18 2024

Exports:boosterclassifier_dnbclassifier_earthclassifier_glmclassifier_gnbclassifier_rpartdiscrete_adaboostdiscretizepredictor_dnbpredictor_earthpredictor_glmpredictor_gnbpredictor_rpartreal_adaboostw_discrete_naive_bayesw_gaussian_naive_bayesw_naive_bayes

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacedata.tabledigestearthevaluatefansifarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmennetpillarpkgconfigplotmoplotrixR6rappdirsRColorBrewerrlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletinytexutf8vctrsviridisviridisLitewithrxfunyaml

Introduction to rbooster

Rendered frombooster.Rmdusingknitr::rmarkdownon Nov 18 2024.

Last update: 2021-10-27
Started: 2021-10-04

Readme and manuals

Help Manual

Help pageTopics
AdaBoost Framework for Any Classifierbooster discrete_adaboost real_adaboost
Discretizediscretize
Prediction function for Adaboost frameworkpredict.booster predict.discrete_adaboost predict.real_adaboost
Predict Discrete Naive Bayespredict.w_discrete_naive_bayes predict.w_gaussian_naive_bayes predict.w_naive_bayes
Naive Bayes algorithm with case weightsw_discrete_naive_bayes w_gaussian_naive_bayes w_naive_bayes