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) <arXiv:1708.00386>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.1 |
rolling source/ R- | gmfd_1.0.1.tar.gz |
31.1 KiB |
1.0.1 |
rolling linux/jammy R-4.5 | gmfd_1.0.1.tar.gz |
71.3 KiB |
1.0.1 |
rolling linux/noble R-4.5 | gmfd_1.0.1.tar.gz |
71.0 KiB |
1.0.1 |
latest source/ R- | gmfd_1.0.1.tar.gz |
31.1 KiB |
1.0.1 |
latest linux/jammy R-4.5 | gmfd_1.0.1.tar.gz |
71.3 KiB |
1.0.1 |
latest linux/noble R-4.5 | gmfd_1.0.1.tar.gz |
71.0 KiB |
1.0.1 |
2026-04-23 source/ R- | gmfd_1.0.1.tar.gz |
31.1 KiB |
1.0.1 |
2026-04-09 windows/windows R-4.5 | gmfd_1.0.1.zip |
74.8 KiB |
1.0.1 |
2025-04-20 source/ R- | gmfd_1.0.1.tar.gz |
31.1 KiB |