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E2E: Ensemble Learning Framework for Diagnostic and PrognosticModeling

Provides a framework to build and evaluate diagnosis or prognosis models using stacking, voting, and bagging ensemble techniques with various base learners. The package also includes tools for visualization and interpretation of models. The development version of the package is available on 'GitHub' at <https://github.com/xiaojie0519/E2E>. The methods are based on the foundational work of Breiman (1996) <doi:10.1007/BF00058655> on bagging and Wolpert (1992) <doi:10.1016/S0893-6080(05)80023-1> on stacking.

Version:0.1.2
Depends:R (≥ 3.5)
Imports:caret,dplyr,tidyr,gbm,ggplot2,glmnet,magrittr,MASS,patchwork,pROC,PRROC,randomForestSRC,readr,RSNNS,shapviz,survival,survivalROC,survminer,timeROC,xgboost,plsRcox,cowplot
Suggests:ada,doParallel,e1071,kernlab,klaR,knitr,nnet,randomForest,RColorBrewer,rmarkdown,rpart,survcomp
Published:2025-12-04
DOI:10.32614/CRAN.package.E2E
Author:Shanjie Luan [aut, cre]
Maintainer:Shanjie Luan <Luan20050519 at 163.com>
BugReports:https://github.com/xiaojie0519/E2E/issues
License:MIT + fileLICENSE
URL:https://xiaojie0519.github.io/E2E/
NeedsCompilation:no
Language:en
Citation:E2E citation info
Materials:README
CRAN checks:E2E results

Documentation:

Reference manual:E2E.html ,E2E.pdf
Vignettes:4. Advanced Features & Customization (source,R code)
2. Diagnostic Workflow (source,R code)
1. Getting Started (source,R code)
0. One-Click Run All Models (source,R code)
Parameter Reference Guide (source)
3. Prognostic Workflow (source,R code)

Downloads:

Package source: E2E_0.1.2.tar.gz
Windows binaries: r-devel:E2E_0.1.2.zip, r-release:E2E_0.1.2.zip, r-oldrel:E2E_0.1.2.zip
macOS binaries: r-release (arm64):E2E_0.1.0.tgz, r-oldrel (arm64):E2E_0.1.0.tgz, r-release (x86_64):E2E_0.1.2.tgz, r-oldrel (x86_64):E2E_0.1.2.tgz
Old sources: E2E archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=E2Eto link to this page.


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