fdaPOIFD
2.0.1Partially Observed Integrated Functional Depth
Overview
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.
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Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 55%
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Code & Tests
People & History
6 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 2.0.1Latest
- 2.0.02025-06-25 · diff ↗
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.0.32022-05-16 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 1.0.22021-08-04 · diff ↗
- 1.0.12021-07-28 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 1.0.02021-01-13
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-01-13
- Total releases
- 6 / 5 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 311 KB / 1 file
- Download size
- 336 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet