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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>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | utils, Matrix, SOP, splines, stats |
| Suggests: | ggplot2, knitr, RColorBrewer, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2024-10-21 |
| DOI: | 10.32614/CRAN.package.VDPO |
| Author: | Pavel Hernandez [aut, cre], Jose Ignacio Diez [ctr], Maria Durban [ctb], Maria del Carmen Aguilera-Morillo [ctb] |
| Maintainer: | Pavel Hernandez <pavel.amaro96 at gmail.com> |
| License: | MIT + file LICENSE |
| URL: | https://pavel-hernadez-amaro.github.io/VDPO/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | VDPO results |
| Reference manual: | VDPO.pdf |
| Vignettes: |
Introduction to VDPO (source) Model fitting for variable domain functional data (source) |
| Package source: | VDPO_0.1.0.tar.gz |
| Windows binaries: | r-devel: VDPO_0.1.0.zip, r-release: VDPO_0.1.0.zip, r-oldrel: VDPO_0.1.0.zip |
| macOS binaries: | r-release (arm64): VDPO_0.1.0.tgz, r-oldrel (arm64): VDPO_0.1.0.tgz, r-release (x86_64): VDPO_0.1.0.tgz, r-oldrel (x86_64): VDPO_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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