Package: SuperSurv
Type: Package
Title: A Unified Framework for Machine Learning Ensembles in Survival
        Analysis
Version: 0.1.8
Authors@R: 
    person("Yue", "Lyu", email = "yuelyu0521@gmail.com", role = c("aut", "cre"))
Author: Yue Lyu [aut, cre]
Maintainer: Yue Lyu <yuelyu0521@gmail.com>
Description: Implements a Super Learner framework for right-censored
        survival data. The package fits convex combinations of
        parametric, semiparametric, and machine learning survival
        learners by minimizing cross-validated risk using inverse
        probability of censoring weighting (IPCW). It provides tools
        for automated hyperparameter grid search, high-dimensional
        variable screening, and evaluation of prediction performance
        using metrics such as the Brier score, Uno's C-index, and
        time-dependent area under the curve (AUC). Additional utilities
        support model interpretation for survival ensembles, including
        Shapley additive explanations (SHAP), and estimation of
        covariate-adjusted restricted mean survival time (RMST)
        contrasts. The methodology is related to treatment-specific
        survival curve estimation using machine learning described by
        Westling et al. (2024) <doi:10.1080/01621459.2023.2205060>, and
        the unified ensemble framework described in Lyu et al. (2026)
        <doi:10.64898/2026.03.11.711010>.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.0
Depends: R (>= 4.0.0)
LazyData: true
Imports: survival, nnls, future.apply, stats, utils, dplyr, magrittr
URL: https://github.com/yuelyu21/SuperSurv,
        https://yuelyu21.github.io/SuperSurv/
BugReports: https://github.com/yuelyu21/SuperSurv/issues
Suggests: aorsf, BART, CoxBoost, flexsurv, glmnet, gbm, grf, mgcv,
        mboost, randomForestSRC, ranger, reticulate, riskRegression,
        rpart, survivalmodels, survPen, survivalsvm, xgboost,
        kernelshap, survex, ggplot2, tidyr, quadprog, ggforce,
        patchwork, knitr, rmarkdown
VignetteBuilder: knitr, rmarkdown
Repository: https://yuelyu21.r-universe.dev
Date/Publication: 2026-10-07 10:01:21 UTC
RemoteUrl: https://github.com/yuelyu21/supersurv
RemoteRef: HEAD
RemoteSha: 494d23eebec98c82cb9115eed41a6d96529d1ad8
NeedsCompilation: no
Packaged: 2026-10-11 12:42:39 UTC; root