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:	2.3.4
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:	2024-12-06
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:

Reference manual:

fdasrvf.pdf

Downloads:

Package source:	fdasrvf_2.3.4.tar.gz
Windows binaries:	r-devel: fdasrvf_2.3.4.zip, r-release: fdasrvf_2.3.4.zip, r-oldrel: fdasrvf_2.3.4.zip
macOS binaries:	r-release (arm64): fdasrvf_2.3.4.tgz, r-oldrel (arm64): fdasrvf_2.3.4.tgz, r-release (x86_64): fdasrvf_2.3.4.tgz, r-oldrel (x86_64): fdasrvf_2.3.4.tgz
Old sources:	fdasrvf archive

Reverse dependencies:

Reverse imports:

fdacluster

Linking:

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