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: | 0.2.0 |
| Depends: | R (≥ 3.3.0) |
| Imports: | broom (≥ 0.4.2), devtools (≥ 1.12.0), dplyr (≥ 0.7.0), forecast (≥ 8.0), lazyeval (≥ 0.2.0), lubridate (≥ 1.6.0), tibble (≥ 1.2), tidyr (≥ 0.6.1), timetk (≥ 0.1.0) |
| Suggests: | forcats, knitr, rmarkdown, testthat, purrr, readr, robets, stringr, scales, tidyquant, tidyverse |
| Published: | 2017-07-26 |
| 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_0.2.0.tar.gz |
| Windows binaries: | r-devel: sweep_0.2.0.zip, r-release: sweep_0.2.0.zip, r-oldrel: sweep_0.2.0.zip |
| OS X El Capitan binaries: | r-release: sweep_0.2.0.tgz |
| OS X Mavericks binaries: | r-oldrel: not available |
| Old sources: | sweep archive |
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