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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: |
2.2.0 |
| Depends: |
R (≥ 4.3.0) |
| Imports: |
cli, coda, doParallel, fields, foreach, lpSolve, Matrix, mvtnorm, Rcpp, rlang, tolerance, viridisLite |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
covr, interp, plot3D, plot3Drgl, rgl, testthat (≥ 3.0.0), withr |
| Published: |
2024-01-24 |
| 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:
Please use the canonical form
https://CRAN.R-project.org/package=fdasrvf
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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