Package: sweep
Type: Package
Title: Tidy Tools for Forecasting
Version: 0.2.3
Authors@R: c(
    person("Matt", "Dancho", email = "mdancho@business-science.io", role = c("aut", "cre")),
    person("Davis", "Vaughan", email = "dvaughan@business-science.io", role = c("aut"))
  )
Maintainer: Matt Dancho <mdancho@business-science.io>
Description: 
    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'.
URL: https://github.com/business-science/sweep
BugReports: https://github.com/business-science/sweep/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
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
RoxygenNote: 7.1.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-07-10 11:29:26 UTC; mdancho
Author: Matt Dancho [aut, cre],
  Davis Vaughan [aut]
Repository: CRAN
Date/Publication: 2020-07-10 12:10:03 UTC
Built: R 4.0.5; ; 2022-04-18 08:29:49 UTC; windows
