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 (may not be active yet)
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: not available, r-release: unsurv_0.5.0.zip, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): unsurv_0.5.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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