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clusEvol: A Procedure for Cluster Evolution Analytics (original) (raw)

Cluster Evolution Analytics allows us to use exploratory what if questions in the sense that the present information of an object is plugged-in a dataset in a previous time frame so that we can explore its evolution (and of its neighbors) to the present. See the URL for the papers associated with this package, as for instance, Morales-Oñate and Morales-Oñate (2024) <doi:10.1016/j.softx.2024.101921>.

Version: 1.0.1
Depends: R (≥ 4.1.0)
Imports: ggplot2, plotly, cluster, fpc, viridis, clusterSim, dplyr
Published: 2025-09-10
DOI: 10.32614/CRAN.package.clusEvol
Author: Víctor Morales-OñateORCID iD [aut, cre], Bolívar Morales-OñateORCID iD [aut]
Maintainer: Víctor Morales-Oñate <vmorales.ppb at gmail.com>
BugReports: https://github.com/vmoprojs/clusEvol/issues
License: GPL (≥ 3)
URL: https://github.com/vmoprojs/clusEvol
NeedsCompilation: no
CRAN checks: clusEvol results

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