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unsurv: Unsupervised Clustering of Individualized Survival Curves

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).

Version: 0.5.0
Depends: R (≥ 4.1.0)
Imports: stats, cluster, ggplot2
Suggests: tidyr, dplyr, scales, testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-03-17
DOI: 10.32614/CRAN.package.unsurv
Author: Imad EL BADISY [aut, cre]
Maintainer: Imad EL BADISY <elbadisyimad at gmail.com>
BugReports: https://github.com/ielbadisy/unsurv/issues
License: MIT + file LICENSE
URL: https://github.com/ielbadisy/unsurv
NeedsCompilation: no
Citation: unsurv citation info
Materials: README, NEWS
CRAN checks: unsurv results

Documentation:

Reference manual: unsurv.html , unsurv.pdf
Vignettes: Clustering Individualized Survival Curves with unsurv (source, R code)

Downloads:

Package source: unsurv_0.5.0.tar.gz
Windows binaries: r-devel: unsurv_0.5.0.zip, r-release: unsurv_0.5.0.zip, r-oldrel: unsurv_0.5.0.zip
macOS binaries: r-release (arm64): unsurv_0.5.0.tgz, r-oldrel (arm64): unsurv_0.5.0.tgz, r-release (x86_64): unsurv_0.5.0.tgz, r-oldrel (x86_64): unsurv_0.5.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=unsurv to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.