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 method is described in El Badisy (2026) <doi:10.1093/bioadv/vbag218>.

Version:	0.7.0
Depends:	R (≥ 4.1.0)
Imports:	stats, cluster, ggplot2
Suggests:	tidyr, dplyr, scales, survival, testthat (≥ 3.0.0), knitr, rmarkdown
Published:	2026-08-31
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://CRAN.R-project.org/package=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_0.7.0.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
Old sources:	unsurv archive

Linking:

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