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>.

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

Documentation:

Reference manual:	VDPO.pdf
Vignettes:	Introduction to VDPO (source) Model fitting for variable domain functional data (source)

Downloads:

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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