R (>= 2.11.0), foreach, mvtnorm, matrixcalc, numDeriv

'fdasrvf-package.r' 'time_warping.R' 'SqrtMean.R'
'align_fPCA.R' 'gauss_model.R' 'horizFPCA.R'
'optimum.reparam.R' 'rgam.R' 'smooth.data.R'
'utility_functions.R' 'vertFPCA.R' 'f_to_srvf.R'
'outlier.detection.R'

'fdasrvf-package.r' 'time_warping.R' 'SqrtMean.R'
'align_fPCA.R' 'gauss_model.R' 'horizFPCA.R'
'optimum.reparam.R' 'rgam.R' 'smooth.data.R'
'utility_functions.R' 'vertFPCA.R' 'f_to_srvf.R'
'outlier.detection.R' 'gradient.R'

A library for functional data analysis using the square root
velocity framework

Functions to support functional data analysis using the square root velocity framework.
Rcpp (>= 0.12.1), foreach, mvtnorm, matrixcalc, numDeriv,
splines, parallel, doParallel

Rcpp (>= 0.12.1), foreach, mvtnorm, matrixcalc, splines,
parallel, fields, doParallel

Rcpp (>= 0.12.1), coda, foreach, mvtnorm, matrixcalc, splines,
parallel, fields, doParallel

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.
Rcpp (>= 0.12.1), coda, foreach, mvtnorm, matrixcalc, splines,
parallel, fields, doParallel, viridisLite

Rcpp (>= 0.12.1), coda, foreach, mvtnorm, matrixcalc, splines,
parallel, fields, doParallel, viridisLite, testthat

Rcpp (>= 0.12.1), coda, foreach, mvtnorm, matrixcalc, splines,
parallel, fields, doParallel, viridisLite, tolerance, testthat

Rcpp (>= 0.12.1), coda, foreach, mvtnorm, matrixcalc, splines,
parallel, fields, doParallel, viridisLite, tolerance, lpSolve,
Matrix, testthat

Rcpp (>= 0.12.1), coda, foreach, mvtnorm, methods, matrixcalc,
splines, parallel, fields, doParallel, viridisLite, tolerance,
lpSolve, Matrix, testthat

Interval Testing Procedure for functional data
The package implements the Interval Testing Procedure for functional data in different frameworks (i.e., one or two-population frameworks) by means of different basis expansions (i.e., B-spline, Fourier, and phase-amplitude Fourier). The current version of the package requires functional data evaluated on a uniform grid; it automatically projects each function on a chosen functional basis; it performs the entire family of multivariate tests; and, finally, it provides the matrix of the p-values of the previous tests and the vector of the corrected p-values. The functional basis, the coupled or uncoupled scenario, and the kind of test can be chosen by the user. The package provides also a plotting function creating a graphical output of the procedure: the p-value heat-map, the plot of the corrected p-values, and the plot of the functional data.