R Observatory: Metrics for unsurv version 0.5.0

Balamuta, James Joseph

unsurv

0.5.0

Unsupervised Clustering of Individualized Survival Curves

0packages depend

2Kdownloads / year

56.3%test coverage

13/13checks pass

Overview

About

Maintained by Imad EL BADISYFirst published 2026-03-171 releasesCRAN page ↗GitHub ↗

Tools for clustering individualized survival curves using the Partitioning Around Medoids (PAM) algorithm, with monotonic enforcement, optional smoothing, weighted distances (L1/L2), automatic K selection via silhouette width, prediction for new curves, basic stability checks, and plotting helpers. The clustering strategy follows Kaufman and Rousseeuw (1990, ISBN:0471878766).

Install

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

install.packages("unsurv", 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("ielbadisy/unsurv")

Development version from ielbadisy/unsurv. 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-unsurv

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-unsurv

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-unsurv

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

Health

CRAN checks

13OK

Slowest check: 2.2 min · r-devel-linux-x86_64-fedora-clang

Code health

Yes

Tests · ratio 0.17

56.3%

Coverage · measured lines

100%

Documentation · exports

3

Dependencies · direct

Check history

OK2026-08-04
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-18
5 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 442 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 5%

Downloads

2K

CRAN downloads in the past year

Rank #9,614 · ~5/day · ~165/mo

Releases R versions

Daily download trend is not available in this view yet.

12730 days

1K90 days

2K1 year

Compare downloads with other packages →

Also on39 r2u1 autocran

Repository

GitHub ↗ ielbadisy/unsurv

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2026-03-12

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/ielbadisy/unsurv on 2026-08-03.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1.0

Imports (3)

statsclusterggplot2

LinkingTo (0)

none

Suggests (6)

tidyr dplyr scales testthat knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)

Maintainer (1)

Imad EL BADISY

Author, Maintainer

Authors (1)

Imad EL BADISY

Author, Maintainer

Package Timeline

1 release. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.5.0Latest
2026-03-17 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-03-17
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("unsurv")

CRAN DOI

https://doi.org/10.32614/CRAN.package.unsurv

BibTeX, derived from DESCRIPTION

@Manual{unsurv,
  title  = {unsurv: Unsupervised Clustering of Individualized Survival Curves},
  author = {EL BADISY, Imad},
  year   = {2026},
  note   = {R package version 0.5.0},
  doi    = {10.32614/CRAN.package.unsurv},
  url    = {https://CRAN.R-project.org/package=unsurv}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatoryunsurv,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {unsurv} version 0.5.0},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/unsurv},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for unsurv version 0.5.0 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/unsurv

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for unsurv version 0.5.0
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/unsurv
ER  -

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/unsurv.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

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