sweep: Tidy Tools for Forecasting

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
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://github.com/business-science/sweep
NeedsCompilation:	no
Materials:	README NEWS
In views:	TimeSeries
CRAN checks:	sweep results

Documentation:

Reference manual:	sweep.pdf
Vignettes:	Introduction to sweep Forecasting Time Series Groups in the tidyverse Forecasting Using Multiple Models

Downloads:

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 dependencies:

Reverse imports:

anomalize

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sweep to link to this page.