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 ORCID iD [aut, cre], Aymeric Stamm ORCID iD [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:

Reference manual: fdasrvf.pdf

Downloads:

Package source: fdasrvf_2.2.0.tar.gz
Windows binaries: r-devel: fdasrvf_2.2.0.zip, r-release: fdasrvf_2.2.0.zip, r-oldrel: fdasrvf_2.1.2.zip
macOS binaries: r-release (arm64): fdasrvf_2.2.0.tgz, r-oldrel (arm64): fdasrvf_2.1.2.tgz, r-release (x86_64): fdasrvf_2.2.0.tgz
Old sources: fdasrvf archive

Reverse dependencies:

Reverse imports: fdacluster

Linking:

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