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: | 0.2.3 |
| 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 |
| Suggests: | forcats, knitr, rmarkdown, testthat, purrr, readr, robets, stringr, scales, tidyquant, tidyverse, fracdiff |
| Published: | 2020-07-10 |
| 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_0.2.3.tar.gz |
| Windows binaries: | r-devel: sweep_0.2.3.zip, r-release: sweep_0.2.3.zip, r-oldrel: sweep_0.2.3.zip |
| macOS binaries: | r-release: sweep_0.2.3.tgz, r-oldrel: sweep_0.2.3.tgz |
| Old sources: | sweep archive |
| Reverse imports: | anomalize |
Please use the canonical form https://CRAN.R-project.org/package=sweep to link to this page.