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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. 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: 2.0.2
Depends: R (≥ 3.5.0)
Imports: doParallel, doRNG, foreach, ggfortify, ggplot2, Gmedian, grDevices, npregfast, RColorBrewer, survival
Suggests: covr, knitr, plotly, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-10-25
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
CRAN checks: clustcurv results

Documentation:

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

Downloads:

Package source: clustcurv_2.0.2.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_2.0.2.tgz, r-oldrel (x86_64): clustcurv_2.0.2.tgz
Old sources: clustcurv archive

Linking:

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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.