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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0.1 |
rolling source/ R- | fdaPOIFD_2.0.1.tar.gz |
335.5 KiB |
2.0.1 |
latest source/ R- | fdaPOIFD_2.0.1.tar.gz |
335.5 KiB |
2.0.1 |
2026-04-23 source/ R- | fdaPOIFD_2.0.1.tar.gz |
335.5 KiB |
2.0.1 |
2026-04-09 windows/windows R-4.5 | fdaPOIFD_2.0.1.zip |
431.9 KiB |