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: | 2.4.2 |
| 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 [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: | AnomalyDetection,FunctionalData |
| CRAN checks: | fdasrvf results |
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