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
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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