Package: VDPO 0.1.0

Pavel Hernandez

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>.

Authors:Pavel Hernandez [aut, cre], Jose Ignacio Diez [ctr], Maria Durban [ctb], Maria del Carmen Aguilera-Morillo [ctb]

VDPO_0.1.0.tar.gz
VDPO_0.1.0.tar.gz(r-4.5-noble)VDPO_0.1.0.tar.gz(r-4.4-noble)
VDPO_0.1.0.tgz(r-4.4-emscripten)VDPO_0.1.0.tgz(r-4.3-emscripten)
VDPO.pdf |VDPO.html✨
VDPO/json (API)
NEWS

# Install 'VDPO' in R:
install.packages('VDPO', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/pavel-hernadez-amaro/vdpo/issues

3.15 score 14 scripts 3 exports 4 dependencies

Last updated 2 days agofrom:80bae56421. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 22 2024
R-4.5-linuxOKOct 22 2024

Exports:data_generator_vdffvdvd_fit

Dependencies:latticeMASSMatrixSOP

Introduction to VDPO

Rendered fromVDPO-01-introduction.Rmdusingknitr::rmarkdownon Oct 22 2024.

Last update: 2024-10-21
Started: 2024-10-21

Model fitting for variable domain functional data

Rendered fromVDPO-02-vd-models.Rmdusingknitr::rmarkdownon Oct 22 2024.

Last update: 2024-10-21
Started: 2024-10-21