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: 1.8.3
Depends: R (≥ 3.1.0)
Imports: Rcpp (≥ 0.12.1), coda, foreach, mvtnorm, matrixcalc, splines, parallel, fields, doParallel, viridisLite, testthat
LinkingTo: Rcpp, RcppArmadillo
Suggests: akima, plot3D, plot3Drgl, rgl
Published: 2017-12-17
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


Reference manual: fdasrvf.pdf
Package source: fdasrvf_1.8.3.tar.gz
Windows binaries: r-devel: fdasrvf_1.8.3.zip, r-release: fdasrvf_1.8.3.zip, r-oldrel: fdasrvf_1.8.3.zip
OS X binaries: r-release: fdasrvf_1.8.3.tgz, r-oldrel: fdasrvf_1.8.3.tgz
Old sources: fdasrvf archive

Reverse dependencies:

Reverse depends: NITPicker
Reverse imports: classiFunc


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