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CRAN: Package fdasrvf

fdasrvf: Elastic Functional Data Analysis

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: 2.4.0 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: 2025-06-27 DOI: 10.32614/CRAN.package.fdasrvf Author: J. Derek Tucker [aut, cre], Aymeric Stamm [ctb] Maintainer: J. Derek Tucker <jdtuck at sandia.gov> 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: FunctionalData CRAN checks: fdasrvf results Documentation: Downloads: Reverse dependencies: Linking:

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