Changepoint detection algorithms for R are widespread but have different interfaces and reporting conventions. This makes the comparative analysis of results difficult. We solve this problem by providing a tidy, unified interface for several different changepoint detection algorithms. We also provide consistent numerical and graphical reporting leveraging the 'broom' and 'ggplot2' packages.
Version: 1.0.1 Depends: R (≥ 4.2) Imports: broom, changepoint, changepointGA, cli, dplyr, GA, ggplot2, lifecycle, lubridate, memoise, methods, patchwork, prettyunits, purrr, rlang, scales, segmented, stringr, tibble, tidyr, tsibble, vctrs, wbs, xts, zoo Suggests: bench, knitr, here, multitaper, readr, rmarkdown, testthat (≥ 3.0.0) Published: 2025-07-09 DOI: 10.32614/CRAN.package.tidychangepoint Author: Benjamin S. Baumer [aut, cre, cph], Biviana Marcela Suárez Sierra [aut], Arrigo Coen [aut], Carlos A. Taimal [aut], Xueheng Shi [ctb] Maintainer: Benjamin S. Baumer <ben.baumer at gmail.com> License: GPL (≥ 3) URL: https://beanumber.github.io/tidychangepoint/ NeedsCompilation: no Materials: README NEWS In views: TimeSeries CRAN checks: tidychangepoint results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=tidychangepoint to link to this page.
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