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