E2E: Ensemble Learning Framework for Diagnostic and Prognostic Modeling

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:	0.0.3
Depends:	R (≥ 3.5)
Imports:	caret, dplyr, gbm, ggplot2, glmnet, magrittr, MASS, patchwork, pROC, PRROC, randomForestSRC, readr, RSNNS, shapviz, survcomp, survival, survivalROC, survminer, timeROC, xgboost
Suggests:	ada, doParallel, e1071, kernlab, klaR, knitr, nnet, randomForest, RColorBrewer, rmarkdown, rpart
Published:	2025-08-26
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 + file LICENSE
URL:	https://xiaojie0519.github.io/E2E/
NeedsCompilation:	no
Language:	en
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) 3. Prognostic Workflow (source, R code)

Downloads:

Package source:	E2E_0.0.3.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): E2E_0.0.3.tgz, r-oldrel (x86_64): E2E_0.0.3.tgz

Linking:

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