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: 1.0
Depends: fda, parallel, funFEM, R (≥ 3.1.0)
Published: 2018-07-27
Author: Charles Bouveyron and Julien Jacques
Maintainer: Charles Bouveyron <charles.bouveyron at math.cnrs.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: funLBM results

Downloads:

Reference manual: funLBM.pdf
Package source: funLBM_1.0.tar.gz
Windows binaries: r-devel: funLBM_1.0.zip, r-release: funLBM_1.0.zip, r-oldrel: funLBM_1.0.zip
OS X binaries: r-release: funLBM_1.0.tgz, r-oldrel: funLBM_1.0.tgz

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