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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