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: 2.3.1
Depends: fda, parallel, funFEM, abind, ggplot2, R (≥ 3.4.0)
Published: 2026-07-30
DOI: 10.32614/CRAN.package.funLBM
Author: Charles Bouveyron [aut], Julien Jacques [aut, cre], Amandine Schmutz [aut]
Maintainer: Julien Jacques <julien.jacques at univ-lyon2.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: funLBM results

Documentation:

Reference manual: funLBM.html , funLBM.pdf

Downloads:

Package source: funLBM_2.3.1.tar.gz
Windows binaries: r-devel: funLBM_2.3.1.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): funLBM_2.3.1.tgz, r-oldrel (arm64): funLBM_2.3.1.tgz, r-release (x86_64): funLBM_2.3.1.tgz, r-oldrel (x86_64): funLBM_2.3.1.tgz
Old sources: funLBM archive

Linking:

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