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 [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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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