doi:10.1007/978-3-031-51609-2>. Additional papers are forthcoming. Focused works are also included in the documentation of corresponding functions.">

fChange: Functional Change Point Detection and Analysis (original) (raw)

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: 2.1.0
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: 2025-06-21
DOI: 10.32614/CRAN.package.fChange
Author: Jeremy VanderDoes ORCID iD [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

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