Package: E2E
Title: Ensemble Learning Framework for Diagnostic and Prognostic
        Modeling
Version: 0.1.3
Authors@R: person("Shanjie", "Luan", email = "Luan20050519@163.com", role = c("aut", "cre"))
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://xiaojie0519.github.io/E2E/
BugReports: https://github.com/xiaojie0519/E2E/issues
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Imports: caret, dplyr, tidyr, gbm, ggplot2, glmnet, magrittr, MASS,
        patchwork, pROC, PRROC, randomForestSRC, readr, RSNNS, shapviz,
        survival, survivalROC, survminer, xgboost, plsRcox, cowplot,
Suggests: ada, doParallel, e1071, kernlab, klaR, knitr, nnet,
        randomForest, RColorBrewer, rmarkdown, rpart, survcomp,
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
Language: en
Config/pak/sysreqs: cmake libfreetype6-dev libglpk-dev libglu1-mesa-dev
        make texlive libicu-dev libjpeg-dev libpng-dev libuv1-dev
        libxml2-dev libgl1-mesa-dev libssl-dev libx11-dev zlib1g-dev
Repository: https://xiaojie0519.r-universe.dev
Date/Publication: 2026-03-19 15:25:30 UTC
RemoteUrl: https://github.com/xiaojie0519/e2e
RemoteRef: HEAD
RemoteSha: 608bcfd714bba0c623f7f58267a2aa89fb74ea6c
NeedsCompilation: no
Packaged: 2026-06-17 08:01:17 UTC; root
Author: Shanjie Luan [aut, cre]
Maintainer: Shanjie Luan <Luan20050519@163.com>