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VDPO: Working with and Analyzing Functional Data of Varying Lengths
Comprehensive set of tools for analyzing and manipulating functional data with non-uniform lengths. This package addresses two common scenarios in functional data analysis: Variable Domain Data, where the observation domain differs across samples, and Partially Observed Data, where observations are incomplete over the domain of interest. 'VDPO' enhances the flexibility and applicability of functional data analysis in 'R'. See Amaro et al. (2024) <doi:10.48550/arXiv.2401.05839>.
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Package details |
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| Author | Pavel Hernandez [aut, cre], Jose Ignacio Diez [ctr], Maria Durban [ctb], Maria del Carmen Aguilera-Morillo [ctb] |
| Maintainer | Pavel Hernandez <pavel.amaro96@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| URL | https://pavel-hernadez-amaro.github.io/VDPO/ |
| Package repository | View on CRAN |
| Installation |
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