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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:451507fcea. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-linux | OK | Oct 31 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
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| AdaBoost Framework for Any Classifier | booster discrete_adaboost real_adaboost |
| Discretize | discretize |
| Prediction function for Adaboost framework | predict.booster predict.discrete_adaboost predict.real_adaboost |
| Predict Discrete Naive Bayes | predict.w_discrete_naive_bayes predict.w_gaussian_naive_bayes predict.w_naive_bayes |
| Naive Bayes algorithm with case weights | w_discrete_naive_bayes w_gaussian_naive_bayes w_naive_bayes |