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: 2.0.1
Depends: R (≥ 3.5.0)
Imports: doParallel, foreach, ggplot2, ggfortify, doRNG, Gmedian, survival, npregfast, RColorBrewer, grDevices
Suggests: testthat, condSURV, plotly, knitr, rmarkdown
Published: 2021-01-10
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

Downloads:

Package source: clustcurv_2.0.1.tar.gz
Windows binaries: r-devel: clustcurv_2.0.1.zip, r-release: clustcurv_2.0.1.zip, r-oldrel: clustcurv_2.0.1.zip
macOS binaries: r-release (arm64): clustcurv_2.0.1.tgz, r-oldrel (arm64): clustcurv_2.0.1.tgz, r-release (x86_64): clustcurv_2.0.1.tgz, r-oldrel (x86_64): clustcurv_2.0.1.tgz
Old sources: clustcurv archive

Linking:

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