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>.
| Version: |
2.0.1 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
stats, ggplot2, tibble, magrittr, reshape2, patchwork, igraph |
| Suggests: |
knitr, rmarkdown |
| Published: |
2025-09-02 |
| DOI: |
10.32614/CRAN.package.fdaPOIFD |
| 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 at gmail.com> |
| BugReports: |
https://github.com/aefdz/fdaPOIFD/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/aefdz/fdaPOIFD |
| NeedsCompilation: |
no |
| Citation: |
fdaPOIFD citation info |
| Materials: |
NEWS |
| In views: |
FunctionalData |
| CRAN checks: |
fdaPOIFD results |
Documentation:
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