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SuperSurv

0.1.7

A Unified Framework for Machine Learning Ensembles in Survival Analysis

0packages depend
1.5Kdownloads / year
23.8%test coverage
13/13checks pass

Overview

About
Maintained by Yue LyuFirst published 2026-03-263 releasesCRAN page ↗GitHub ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 21.7 min · r-devel-linux-x86_64-fedora-clang
Code health
Yes
Tests · ratio 0.02
23.8%
Coverage · measured lines
100%
Documentation · exports
7
Dependencies · direct
Check history
  • OK2026-06-18
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-05-28
    11 OK · 0 NOTE · 0 WARNING · 2 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-03-27
    6 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 492 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
96%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

1.5K
CRAN downloads in the past year
Rank #11,688 · ~4/day · ~127/mo
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23630 days
89190 days
1.5K1 year
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Repository

Repository
1Stars
0Forks
0Open issues
0Open PRs
0Releases
41Commits
1Contributors
41 commits · Last activity 2026-05-04 · 0% stars, 30d

Stars over time

2026-06-20 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/yuelyu21/supersurv on 2026-07-19.

Continuous integration (1)
GitHub Actions
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
21 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0.0
Imports (7)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 0.1.7Latest
    2026-06-11 · current release · diff ↗
  • unarchivedReturned to CRAN
    2026-06-11
  • archivedRemoved from CRAN
    2026-06-10
    issues were not corrected in time
  • 0.1.2
    2026-05-04 · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.1
    2026-03-26
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-03-26
Total releases
3 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.0.0
Bundled data
65 KB / 1 file
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet
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