A Tidy Framework for Changepoint Detection Analysis R package tidychangepoint version 1.0.5 CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries) 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. Software Depends: R (>= 4.2) Imports: changepoint, changepointGA, cli, dplyr, GA, generics, ggplot2, lifecycle, lubridate, memoise, methods, prettyunits, purrr, rlang, scales, segmented, stringr, strucchange, tibble, tidyr, tsibble, vctrs, wbs, xts, zoo Suggests: bench, broom, knitr, here, multitaper, patchwork, readr, rmarkdown, testthat (>= 3.0.0) Benjamin S. Baumer <ben.baumer@gmail.com> Comprehensive R Archive Network (CRAN) Benjamin S. Baumer [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-3279-0516>), Biviana Marcela Suárez Sierra [aut] (ORCID: <https://orcid.org/0000-0003-2151-3537>), Arrigo Coen [aut] (ORCID: <https://orcid.org/0000-0001-7798-7104>), Carlos A. Taimal [aut] (ORCID: <https://orcid.org/0000-0002-8716-1282>), Xueheng Shi [ctb] GPL (>= 3) 2026-05-05 application/tgz https://CRAN.R-project.org/package=tidychangepoint doi:10.32614/CRAN.package.tidychangepoint