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fdaPOIFD: Partially Observed Integrated Functional Depth
Integrated Functional Depth for Partially Observed Functional Data and applications to visualization, outlier detection and classification. It implements the methods proposed in: Elías, A., Jiménez, R., Paganoni, A. M. and Sangalli, L. M., (2023), "Integrated Depth for Partially Observed Functional Data", Journal of Computational and Graphical Statistics, <doi:10.1080/10618600.2022.2070171>. Elías, A., Jiménez, R., & Shang, H. L. (2023), "Depth-based reconstruction method for incomplete functional data", Computational Statistics, <doi:10.1007/s00180-022-01282-9>. Elías, A., Nagy, S. (2024), "Statistical properties of partially observed integrated functional depths", TEST, <doi:10.1007/s11749-024-00954-6>.
Getting started
Browse package contents
Package details |
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| Author | Antonio Elías [aut, cre], Raúl Jiménez [ctb], Anna M. Paganoni [ctb], Laura M. Sangalli [ctb], Stanislav Nagy [ctb], Maximiliam Ofner [ctb] |
| Maintainer | Antonio Elías <antonioefz91@gmail.com> |
| License | GPL-3 |
| Version | 2.0.0 |
| URL | https://github.com/aefdz/fdaPOIFD |
| Package repository | View on CRAN |
| Installation |
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