doi:10.48550/arXiv.1103.3817> and Tucker et al., 2014 <doi:10.1016/j.csda.2012.12.001>). This framework allows for elastic analysis of functional data through phase and amplitude separation.">

fdasrvf: Elastic Functional Data Analysis (original) (raw)

Performs alignment, PCA, and modeling of multidimensional and unidimensional functions using the square-root velocity framework (Srivastava et al., 2011 <doi:10.48550/arXiv.1103.3817> and Tucker et al., 2014 <doi:10.1016/j.csda.2012.12.001>). This framework allows for elastic analysis of functional data through phase and amplitude separation.

Version: 2.4.2
Depends: R (≥ 4.3.0)
Imports: cli, coda, doParallel, fields, foreach, lpSolve, Matrix, mvtnorm, Rcpp, rlang, minpack.lm, tolerance, viridisLite
LinkingTo: Rcpp, RcppArmadillo
Suggests: covr, interp, plot3D, plot3Drgl, rgl, testthat (≥ 3.0.0), withr
Published: 2025-10-03
DOI: 10.32614/CRAN.package.fdasrvf
Author: J. Derek Tucker ORCID iD [aut, cre], Aymeric Stamm ORCID iD [ctb]
Maintainer: J. Derek Tucker
BugReports: https://github.com/jdtuck/fdasrvf_R/issues
License: GPL-3
URL: https://github.com/jdtuck/fdasrvf_R
NeedsCompilation: yes
Materials: README, NEWS
In views: AnomalyDetection, FunctionalData
CRAN checks: fdasrvf results

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