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Working with and Analyzing Functional Data of Varying Lengths

0packages depend
2.5Kdownloads / year
60.3%test coverage
13/13flavors OK

Overview

About

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.

Changes in 0.2.0
  • Added support for partially observed functional data. This includes the new functions ffpo() and ffpo_2d() for defining partially observed functional terms in model formulae, po_fit() and po_2d_fit() for fitting the corresponding regression models, and the data generators data_generator_po_1d() and data_generator_po_2d().
  • po_fit() and po_2d_fit() now return the estimated functional coefficient together with its pointwise confidence intervals.
  • Added mfpca_vd(), a multivariate functional principal component analysis for variable domain data, together with a plot() method for the estimated eigenfunctions and scores.
  • Added vignettes for the partially observed models and for the variable domain multivariate functional principal component analysis.
Show all changes in 0.2.0Hide the rest of the changes in 0.2.0
  • Completed the documentation and added runnable examples for the new functions.
  • Fixed a bug in plot_ci() where the input object was referenced through the wrong variable, causing the function to error before producing a plot.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.1 min · r-release-macos-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
Show 2 earlier changesHide 2 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.0
READMEYes · 196 wordsVignettesYes · 4 · staticNEWSYes · 100% structured · mentions 0.2.0Citation fileYes · cites a publicationWebsiteYes · pkgdown
Help pages
15 (1 internal)includes a package overview page
Examples that run
78%7 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
69%
Documented parameters
94%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.5K
CRAN downloads in the past year
Rank #14,268 · ~7/day · ~210/mo
Daily download trend is not available in this view yet.
32830 days
82390 days
2.5K1 year
Compare downloads with other packages →
Also on76 r2u6 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2026-06-12
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
not measured
PracticesBeta

7 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/pavel-hernadez-amaro/vdpo on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (3)
pkgdown

GitHub Pages site last deployed 2026-06-12 · The repository has a site deploy workflow

pkgdown site last built 2026-06-12

CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • Claude Codefirst seen 2026-06-03
    Seen in the repository: .claude
    Named in .Rbuildignore: .claude
How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing VDPO adds 38 packages (23 with compiled code, 33 MB of source tarballs). Heaviest: ggplot2 6.0 MB, fds 3.7 MB, mclust 2.7 MB.

Depends (1)
R >= 3.5.0
Imports (8)
utilsMatrixSOPmgcvsplinesstatsfdapROC
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (4)
Author, Maintainer since 0.1.0 (2024)
Contributor
Releases (2)

Pick two releases to compare their code metrics.

  • 0.2.0Latest
    record
    2026-06-07 · current release · diff ↗ ·
    added 10 exports
    add_grid, adjust_proportion, data_generator_po_1d, data_generator_po_2d, ffpo, ffpo_2d, mfpca_vd, plot_ci, po_2d_fit, po_fit
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.0
    record
    2024-10-21
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-10-21
Total releases
2 / 2 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5.0
Download size
678 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("VDPO")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.48550/arxiv.2401.05839.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for VDPO version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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