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 gmail.com> |
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: 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 |
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