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: 2.2
Depends: fda, parallel, funFEM, abind, ggplot2, R (≥ 3.4.0)
Published: 2021-03-17
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

Downloads:

Reference manual: funLBM.pdf
Package source: funLBM_2.2.tar.gz
Windows binaries: r-devel: funLBM_2.2.zip, r-release: funLBM_2.2.zip, r-oldrel: funLBM_2.2.zip
macOS binaries: r-release: funLBM_2.2.tgz, r-oldrel: funLBM_2.2.tgz
Old sources: funLBM archive

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