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 |
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