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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: | 0.2.5 |
| Depends: | R (≥ 3.3.0) |
| Imports: | broom (≥ 0.5.6), dplyr (≥ 1.0.0), forecast (≥ 8.0), lubridate (≥ 1.6.0), tibble (≥ 1.2), tidyr (≥ 1.0.0), timetk (≥ 2.1.0), rlang, tidyverse, tidyquant |
| Suggests: | forcats, knitr, rmarkdown, testthat, purrr, readr, stringr, scales, fracdiff |
| Published: | 2023-07-06 |
| 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://github.com/business-science/sweep |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| In views: | TimeSeries |
| CRAN checks: | sweep results |
| Reference manual: | sweep.pdf |
| Vignettes: |
Introduction to sweep Forecasting Time Series Groups in the tidyverse Forecasting Using Multiple Models |
| Package source: | sweep_0.2.5.tar.gz |
| Windows binaries: | r-devel: sweep_0.2.5.zip, r-release: sweep_0.2.5.zip, r-oldrel: sweep_0.2.5.zip |
| macOS binaries: | r-release (arm64): sweep_0.2.5.tgz, r-oldrel (arm64): sweep_0.2.5.tgz, r-release (x86_64): sweep_0.2.5.tgz, r-oldrel (x86_64): sweep_0.2.5.tgz |
| Old sources: | sweep archive |
| Reverse imports: | anomalize |
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