The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

kml3d: K-Means for Joint Longitudinal Data

An implementation of k-means specifically design to cluster joint trajectories (longitudinal data on several variable-trajectories). Like 'kml', it provides facilities to deal with missing value, compute several quality criterion (Calinski and Harabatz, Ray and Turie, Davies and Bouldin, BIC,...) and propose a graphical interface for choosing the 'best' number of clusters. In addition, the 3D graph representing the mean joint-trajectories of each cluster can be exported through LaTeX in a 3D dynamic rotating PDF graph.

Version: 2.5.0
Depends: R (≥ 2.10), methods, clv, rgl, misc3d, longitudinalData, kml
Published: 2024-10-23
DOI: 10.32614/CRAN.package.kml3d
Author: Christophe Genolini [cre, aut], Bruno Falissard [ctb], Patrice Kiener [ctb], Jean-Baptiste Pingault [ctb]
Maintainer: Christophe Genolini <christophe.genolini at free.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: kml3d citation info
Materials: NEWS
CRAN checks: kml3d results

Documentation:

Reference manual: kml3d.pdf

Downloads:

Package source: kml3d_2.5.0.tar.gz
Windows binaries: r-devel: kml3d_2.5.0.zip, r-release: kml3d_2.5.0.zip, r-oldrel: kml3d_2.5.0.zip
macOS binaries: r-release (arm64): kml3d_2.5.0.tgz, r-oldrel (arm64): kml3d_2.5.0.tgz, r-release (x86_64): kml3d_2.5.0.tgz, r-oldrel (x86_64): kml3d_2.5.0.tgz
Old sources: kml3d archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=kml3d to link to this page.

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.