clustcurv: Determining Groups in Multiples Curves

A method for determining groups in multiple curves with an automatic selection of their number based on k-means or k-medians algorithms. The selection of the optimal number is provided by bootstrap methods or other approaches with lower computational cost. The methodology can be applied both in regression and survival framework. Implemented methods are: Grouping multiple survival curves described by Villanueva et al. (2018) <doi:10.1002/sim.8016>.

Version: 3.0.0
Depends: R (≥ 3.5.0)
Imports: doParallel, doRNG, foreach, ggfortify, ggplot2, Gmedian, grDevices, npregfast, RColorBrewer, survival, survminer
Suggests: covr, knitr, plotly, rmarkdown, testthat (≥ 3.0.0)
Published: 2025-11-14
DOI: 10.32614/CRAN.package.clustcurv
Author: Nora M. Villanueva ORCID iD [aut, cre], Marta Sestelo ORCID iD [aut]
Maintainer: Nora M. Villanueva <nmvillanueva at uvigo.es>
BugReports: https://github.com/noramvillanueva/clustcurv/issues
License: MIT + file LICENSE
URL: https://github.com/noramvillanueva/clustcurv
NeedsCompilation: no
Citation: clustcurv citation info
Materials: NEWS
CRAN checks: clustcurv results

Documentation:

Reference manual: clustcurv.html , clustcurv.pdf
Vignettes: Clustering Multiple Nonparametric Curves (source, R code)

Downloads:

Package source: clustcurv_3.0.0.tar.gz
Windows binaries: r-devel: clustcurv_2.0.2.zip, r-release: clustcurv_2.0.2.zip, r-oldrel: clustcurv_2.0.2.zip
macOS binaries: r-release (arm64): clustcurv_2.0.2.tgz, r-oldrel (arm64): clustcurv_2.0.2.tgz, r-release (x86_64): clustcurv_3.0.0.tgz, r-oldrel (x86_64): clustcurv_3.0.0.tgz
Old sources: clustcurv archive

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