R Observatory: Metrics for SuperSurv version 0.1.7

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

SuperSurv

0.1.7

A Unified Framework for Machine Learning Ensembles in Survival Analysis

0packages depend

1.8Kdownloads / 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

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("SuperSurv", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("yuelyu21/SuperSurv")

Development version from yuelyu21/SuperSurv. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-supersurv

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-SuperSurv

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-SuperSurv

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 15.1 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.02

23.8%

Coverage · measured lines

100%

Documentation · exports

7

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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

Show 1 earlier snapshots

NOTE2026-03-27
6 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 492 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 96%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

1.8K

CRAN downloads in the past year

Rank #14,091 · ~5/day · ~147/mo

Releases R versions

Daily download trend is not available in this view yet.

24030 days

74590 days

1.8K1 year

Compare downloads with other packages →

Also on98 r2u27 autocran

Repository

GitHub ↗ yuelyu21/supersurv

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 2026-08-23.

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)

survivalnnls future.applystatsutilsdplyr magrittr

LinkingTo (0)

none

Suggests (19)

aorsf BART CoxBoost glmnet gbmmgcvrandomForestSRC rangerrpartsurvivalsvm xgboost survex ggplot2 tidyr quadprog ggforce patchwork knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)

Maintainer (1)

Yue Lyu

Author, Maintainer

Authors (1)

Yue Lyu

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: 7.1 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SuperSurv")

Format

Lyu, Y. (2026). SuperSurv: A Unified Framework for Machine Learning Ensembles in Survival Analysis (Version 0.1.7) [Computer software]. https://doi.org/10.32614/CRAN.package.SuperSurv

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for SuperSurv version 0.1.7 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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