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 <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:	1.9.7
Depends:	R (≥ 3.5.0)
Imports:	Rcpp (≥ 0.12.1), coda, foreach, mvtnorm, matrixcalc, splines, parallel, fields, doParallel, viridisLite, tolerance, lpSolve, Matrix, testthat
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	akima, plot3D, plot3Drgl, rgl
Published:	2021-06-21
Author:	J. Derek Tucker
Maintainer:	J. Derek Tucker <jdtuck at sandia.gov>
License:	GPL-3
NeedsCompilation:	yes
SystemRequirements:	C++11
Materials:	README NEWS
In views:	FunctionalData
CRAN checks:	fdasrvf results

Documentation:

Reference manual:

fdasrvf.pdf

Downloads:

Package source:	fdasrvf_1.9.7.tar.gz
Windows binaries:	r-devel: fdasrvf_1.9.7.zip, r-release: fdasrvf_1.9.7.zip, r-oldrel: fdasrvf_1.9.7.zip
macOS binaries:	r-release (arm64): fdasrvf_1.9.7.tgz, r-oldrel (arm64): fdasrvf_1.9.7.tgz, r-release (x86_64): fdasrvf_1.9.7.tgz, r-oldrel (x86_64): fdasrvf_1.9.7.tgz
Old sources:	fdasrvf archive

Reverse dependencies:

Reverse depends:

NITPicker

Linking:

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