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The funFEM algorithm (Bouveyron et al., 2014) allows to cluster functional data by modeling the curves within a common and discriminative functional subspace.
| Version: | 1.2 |
| Depends: | R (≥ 2.10), MASS, fda, elasticnet |
| Published: | 2021-10-27 |
| Author: | Charles Bouveyron |
| Maintainer: | Charles Bouveyron <charles.bouveyron at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| In views: | Cluster, FunctionalData |
| CRAN checks: | funFEM results |
| Reference manual: | funFEM.pdf |
| Package source: | funFEM_1.2.tar.gz |
| Windows binaries: | r-devel: funFEM_1.2.zip, r-release: funFEM_1.2.zip, r-oldrel: funFEM_1.2.zip |
| macOS binaries: | r-release (arm64): funFEM_1.2.tgz, r-oldrel (arm64): funFEM_1.2.tgz, r-release (x86_64): funFEM_1.2.tgz, r-oldrel (x86_64): funFEM_1.2.tgz |
| Old sources: | funFEM archive |
| Reverse depends: | funLBM |
| Reverse suggests: | latrend |
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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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