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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: FunctionalData
CRAN checks: funLBM results


Reference manual: funLBM.pdf


Package source: funLBM_2.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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