Analyze functional data and its change points. Includes
functionality to store and process data, summarize and validate assumptions,
characterize and perform inference of change points, and provide
visualizations. Data is stored as discretely collected observations without
requiring the selection of basis functions. For more details see chapter 8
of Horvath and Rice (2024) <doi:10.1007/978-3-031-51609-2>. Additional papers
are forthcoming. Focused works are also included in the documentation of
corresponding functions.
Version: |
2.0.0 |
Depends: |
R (≥ 2.10) |
Imports: |
dplyr, fastmatrix, fda, ftsa, ggplot2, ggpubr, graphics, grDevices, MASS, methods, plot3D, plotly, rainbow, RColorBrewer, Rcpp, RcppArmadillo, Rfast, sandwich, scales, stats, tensorA, tidyr, vars |
LinkingTo: |
Rcpp, RcppArmadillo |
Suggests: |
CompQuadForm, fda.usc, forecast, funData, jmuOutlier, knitr, lattice, rmarkdown, testthat (≥ 3.0.0) |
Published: |
2025-03-27 |
DOI: |
10.32614/CRAN.package.fChange |
Author: |
Jeremy VanderDoes
[aut, cre, cph],
Gregory Rice [aut],
Martin Wendler [aut] |
Maintainer: |
Jeremy VanderDoes <jeremy.vanderdoes at gmail.com> |
License: |
GPL (≥ 3) |
URL: |
https://jrvanderdoes.github.io/fChange/ |
NeedsCompilation: |
yes |
Materials: |
README NEWS |
CRAN checks: |
fChange results |