Tidies up the forecasting modeling and prediction work flow, extends the 'broom' package with 'sw_tidy', 'sw_glance', 'sw_augment', and 'sw_tidy_decomp' functions for various forecasting models, and enables converting 'forecast' objects to "tidy" data frames with 'sw_sweep'.
| Version: | 0.2.6 |
| Depends: | R (≥ 3.3.0) |
| Imports: | broom (≥ 0.5.6), dplyr (≥ 1.0.0), forecast (≥ 8.0), rlang, tibble (≥ 1.2), timetk (≥ 2.1.0) |
| Suggests: | fracdiff, ggplot2, knitr, lubridate, purrr, readr, rmarkdown, scales, stringr, testthat (≥ 2.0.0), tidyr (≥ 1.0.0), tidyquant, zoo |
| Published: | 2025-08-28 |
| DOI: | 10.32614/CRAN.package.sweep |
| Author: | Matt Dancho [aut, cre], Davis Vaughan [aut] |
| Maintainer: | Matt Dancho <mdancho at business-science.io> |
| BugReports: | https://github.com/business-science/sweep/issues |
| License: | GPL (≥ 3) |
| URL: | https://business-science.github.io/sweep/, https://github.com/business-science/sweep |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| In views: | TimeSeries |
| CRAN checks: | sweep results |
| Reference manual: | sweep.html , sweep.pdf |
| Vignettes: |
Introduction to sweep (source, R code) Forecasting Time Series Groups in the tidyverse (source, R code) Forecasting Using Multiple Models (source, R code) |
| Package source: | sweep_0.2.6.tar.gz |
| Windows binaries: | r-devel: sweep_0.2.6.zip, r-release: sweep_0.2.6.zip, r-oldrel: sweep_0.2.6.zip |
| macOS binaries: | r-release (arm64): sweep_0.2.6.tgz, r-oldrel (arm64): sweep_0.2.6.tgz, r-release (x86_64): sweep_0.2.6.tgz, r-oldrel (x86_64): sweep_0.2.6.tgz |
| Old sources: | sweep archive |
| Reverse imports: | anomalize |
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