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SuperSurv

0.1.9Package record

A Unified Framework for Machine Learning Ensembles in Survival Analysis

0packages depend
2.5Kdownloads / year
53.2%test coverage
13/13flavors OK

Overview

About

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: 8.2 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-18
Show 3 earlier changesHide 3 earlier changes
  • ERROR11 OK, 2 ERROR2026-05-28
  • OK12 OK2026-04-25
  • NOTE6 OK, 1 NOTE2026-03-27
Advisories

none known

Documentation

In release 0.1.9
READMEYes · 592 wordsVignettesYes · 11 · evaluation depends on the environmentNEWSNoCitation fileYes · cites a publicationWebsiteYes · pkgdown
Help pages
68 (4 internal)
Examples that run
96%53 run in a plain check (33 of them under a condition) · 2 never run
Exported functions with examples
88%
Documented parameters
99%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.5K
CRAN downloads in the past year
Rank #11,276 · ~7/day · ~206/mo
Daily download trend is not available in this view yet.
42730 days
94790 days
2.5K1 year
Compare downloads with other packages →
Also on108 r2u1 autocran

Repository

1Stars
0Forks
0Open issues
0Open PRs
0Releases
47Commits
1Commit identities
47 commits · Last activity 2026-10-07 · 0% stars, 30d · The default branch showed an older version (0.1.8) than CRAN on 2026-10-18
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
2

Stars over time

2026-06-20 · 12026-07-07 · 1
PracticesBeta

7 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/yuelyu21/supersurv on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (1)
Contributing guide
Docs source (3)
pkgdown

GitHub Pages site last deployed 2026-10-07 · The repository has a site deploy workflow

pkgdown site last built 2026-10-07

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
29 external dependencies (excludes base and recommended)

Installing SuperSurv adds 22 packages (12 with compiled code, 6.4 MB of source tarballs). Heaviest: vctrs 1.0 MB, dplyr 902 KB, rlang 766 KB.

Depends (1)
R >= 4.0.0
Imports (7)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.1.1 (2026)
Releases (4)

Pick two releases to compare their code metrics.

  • 0.1.9Latest
    record
    2026-10-02 · current release · diff ↗ ·
    added 10 exports
    eval_benchmark, eval_logloss, surv.coxtime, surv.deephit, surv.deepsurv, surv.flexsurvreg, surv.flexsurvspline, surv.grf, surv.mboost, surv.survPen
  • unarchivedReturned to CRAN
    2026-06-11
  • 0.1.7
    record
    2026-06-11 · diff ↗
  • archivedRemoved from CRAN
    2026-06-10
    issues were not corrected in time
  • 0.1.2
    record
    2026-05-04 · diff ↗ ·
    added 6 exports
    censor_weights, eval_times, event_weights, learner_names, selected_variables, training_variables
  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.1
    record
    2026-03-26
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-03-26
Total releases
4 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.0.0
Bundled data
65 KB / 1 file
Download size
7.0 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("SuperSurv")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.64898/2026.03.11.711010.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for SuperSurv version 0.1.9 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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