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Some methods for the inference and clustering of univariate and multivariate functional data, using a generalization of Mahalanobis distance, along with some functions useful for the analysis of functional data. For further details, see Martino A., Ghiglietti, A., Ieva, F. and Paganoni A. M. (2017) <doi:10.48550/arXiv.1708.00386>.
| Version: | 1.0.1 |
| Depends: | R (≥ 3.3.0) |
| Imports: | graphics, stats |
| Suggests: | knitr, rmarkdown |
| Published: | 2018-04-06 |
| Author: | Andrea Martino [aut, cre], Andrea Ghiglietti [aut], Francesca Ieva [aut], Anna Maria Paganoni [aut] |
| Maintainer: | Andrea Martino <andrea.martino at polimi.it> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | gmfd results |
| Reference manual: | gmfd.pdf |
| Vignettes: |
gmfd |
| Package source: | gmfd_1.0.1.tar.gz |
| Windows binaries: | r-devel: gmfd_1.0.1.zip, r-release: gmfd_1.0.1.zip, r-oldrel: gmfd_1.0.1.zip |
| macOS binaries: | r-release (arm64): gmfd_1.0.1.tgz, r-oldrel (arm64): gmfd_1.0.1.tgz, r-release (x86_64): gmfd_1.0.1.tgz, r-oldrel (x86_64): gmfd_1.0.1.tgz |
| Old sources: | gmfd archive |
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