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: |
0.0.1 |
| Depends: |
R (≥ 4.1) |
| Imports: |
broom, changepoint, cli, dplyr, GA, ggplot2, lifecycle, memoise, methods, patchwork, purrr, scales, stringr, tibble, tidyr, tsibble, vctrs, wbs, xts, zoo |
| Suggests: |
bench, knitr, here, readr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2024-08-19 |
| DOI: |
10.32614/CRAN.package.tidychangepoint |
| Author: |
Benjamin S. Baumer
 [aut, cre,
cph],
Biviana Marcela Suarez 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 |