gmfd: Inference and Clustering of Functional Data
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 |
| DOI: | 10.32614/CRAN.package.gmfd |
| 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 |
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