Working with and Analyzing Functional Data of Varying Lengths R package VDPO version 0.2.0 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>, Hernandez-Amaro et al. (2025) <doi:10.48550/arXiv.2510.26917>, and Hernandez-Amaro et al. (2026) <doi:10.48550/arXiv.2605.03633>. Software Depends: R (>= 3.5.0) Imports: utils, Matrix, SOP, mgcv, splines, stats, fda, pROC Suggests: ggplot2, knitr, RColorBrewer, rmarkdown, testthat (>= 3.0.0) Pavel Hernandez <pavel.amaro96@gmail.com> Comprehensive R Archive Network (CRAN) Pavel Hernandez [aut, cre], Jose Ignacio Diez [ctr], Maria Durban [ctb], Maria del Carmen Aguilera-Morillo [ctb] MIT + file LICENSE (https://CRAN.R-project.org/package=VDPO/LICENSE) 2026-06-07 application/tgz https://CRAN.R-project.org/package=VDPO doi:10.32614/CRAN.package.VDPO