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funLBM: Model-Based Co-Clustering of Functional Data

The funLBM algorithm allows to simultaneously cluster the rows and the columns of a data matrix where each entry of the matrix is a function or a time series.

Version: 2.3
Depends: fda, parallel, funFEM, abind, ggplot2, R (≥ 3.4.0)
Published: 2022-04-11
DOI: 10.32614/CRAN.package.funLBM
Author: Charles Bouveyron, Julien Jacques and Amandine Schmutz
Maintainer: Charles Bouveyron <charles.bouveyron at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: FunctionalData
CRAN checks: funLBM results

Documentation:

Reference manual: funLBM.pdf

Downloads:

Package source: funLBM_2.3.tar.gz
Windows binaries: r-devel: funLBM_2.3.zip, r-release: funLBM_2.3.zip, r-oldrel: funLBM_2.3.zip
macOS binaries: r-release (arm64): funLBM_2.3.tgz, r-oldrel (arm64): funLBM_2.3.tgz, r-release (x86_64): funLBM_2.3.tgz, r-oldrel (x86_64): funLBM_2.3.tgz
Old sources: funLBM 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.
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