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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 |
| 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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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