52d74c03bef63da755730cc4efa605f7 *DESCRIPTION
7dc824437ceac589069f272acf2970d6 *NAMESPACE
868b0f219399d7a504a870f6fbd5364d *NEWS.md
0c43f7cd9a2d53e0deefa78f9d569c05 *R/global_vars.R
7328ea4a4e9a1362a8c8b9704e410358 *R/sales_data.R
6b6a6a78eb2f68b081231c8440419d86 *R/sw_augment.R
218043ba4904aa9bef16cc26f0c3c494 *R/sw_glance.R
58e98c01db4a541273e0255e7e47d31e *R/sw_sweep.R
bc53f6f4cc7ce161f0a0570561cd85d6 *R/sw_tidy.R
ad387ba7b8c2ae75f7e1b88458cf404a *R/sw_tidy_decomp.R
8c78f5df7675a3faf30e8ff8b5ebe7c9 *R/sweep-package.R
d55efd05328215cfab8ed289a5a3da4d *R/tidiers_HoltWinters.R
4bf335d334e488d247d239eb84977a33 *R/tidiers_StructTS.R
73b246119d428a9a92546235972da0e2 *R/tidiers_arima.R
1825d55fab4ac4c216dd9115a782ea30 *R/tidiers_bats.R
dcdec89cf89eaa562f77056482d6e257 *R/tidiers_decomposed_ts.R
3b0d7f2c31bdcdf4fe352002417b2888 *R/tidiers_ets.R
3bf9c8175631723ad518589ccb7647bd *R/tidiers_nnetar.R
2575212152364cb1bd80a7dff6cb9248 *R/tidiers_stl.R
5bfc325efdcd148c2c16443a94d87c5e *R/utils-broom.R
0e414efb554a0f8dbe293bf35c7d3303 *R/utils-forecast.R
f2c545edba3b24c81ccf024fa2ada3b7 *README.md
76e9e377fae62139ff5d5215f26a1d37 *build/vignette.rds
9bc4a7fa035dd0cde45ca2ce2a86265a *data/bike_sales.rda
85bcff98cbb105aee170e0a4b0a6cc78 *inst/doc/SW00_Introduction_to_sweep.R
4307add6bc7c22c2d2e063415c106b5b *inst/doc/SW00_Introduction_to_sweep.Rmd
5ecefcf7c3ff57dac5fecd08135fea0c *inst/doc/SW00_Introduction_to_sweep.html
43958d78267b5c7202887699e4cc015d *inst/doc/SW01_Forecasting_Time_Series_Groups.R
8573788335c0788cf5cafea7180bec28 *inst/doc/SW01_Forecasting_Time_Series_Groups.Rmd
43cdc58060c6303295d5e51612c93394 *inst/doc/SW01_Forecasting_Time_Series_Groups.html
5fa006739d59b1c646ee9b9e6241a831 *inst/doc/SW02_Forecasting_Multiple_Models.R
ea4b07e2e4e99c8f4b6eb36be8137285 *inst/doc/SW02_Forecasting_Multiple_Models.Rmd
84e6fe7245a1cff231b8f6fb97022098 *inst/doc/SW02_Forecasting_Multiple_Models.html
68fad1ababb4e8a17adf1835d1045b74 *man/add_index.Rd
8b68447985278e1e725b81914483d8f4 *man/arima_string.Rd
e873bd0af768889211466023687ce062 *man/bats_string.Rd
c8d7a4481cb0c95613efb4a3552a1429 *man/bike_sales.Rd
e4ebf69972373b44ba2d8fc5fcaa1ed8 *man/figures/forecast.png
14768861458f7edeb07042fc730f4f5c *man/figures/logo.png
638cad4383a6ee1770d79c044414a429 *man/figures/multiple_models.png
5ced983c8a86747b31326e63b6a1d17f *man/figures/time_series_groups.png
fa9eeb842055050dc6551de9ee6364ab *man/reexports.Rd
0b021f77527d4b65e91b6221e76f36bf *man/sw_augment.Rd
3f35ae0e6680cfc2830bc1a5f158d4fe *man/sw_augment.default.Rd
362872f3a16d807c72b8e706206f449a *man/sw_augment_columns.Rd
49e54dfbc04b322f3bc115a64e2d66c8 *man/sw_glance.Rd
fb16be6783930d09f2550f2492477308 *man/sw_glance.default.Rd
c3d3fcd16f9d02ea31a7c45013ac9401 *man/sw_sweep.Rd
1cc5b2b7e4a2c5fd12e90c9bdcb3f17f *man/sw_tidy.Rd
826f20130a13e8c38e168e6ee6bb995a *man/sw_tidy.default.Rd
1caff1729cb7d0e34710fa6c39acaa53 *man/sw_tidy_decomp.Rd
49d96a7127d40367f75b7a8a4815ccbc *man/sweep-package.Rd
99ec56263ac509ef80657514f0843cc4 *man/tbats_string.Rd
0d35da6f625952d660e74665c922b6c0 *man/tidiers_HoltWinters.Rd
0c21ce5bbb372c8cc3db2e6346353fc4 *man/tidiers_StructTS.Rd
52059de54cec3e8ae4a5ad5a1af8eb5f *man/tidiers_arima.Rd
760edee3d5c5c537717a9ebd63699eb2 *man/tidiers_bats.Rd
c0cc0a26b97b4863b1bec457d8f8440f *man/tidiers_decomposed_ts.Rd
720fbd31cdcb36ff9340ed88a0cbc196 *man/tidiers_ets.Rd
d491fa301bc79f37dbb4a82230d3674e *man/tidiers_nnetar.Rd
613e9494cafeea4cc771a9e5596f4e94 *man/tidiers_stl.Rd
6beff15c72e6d0cfacaa78e1067c5b4d *man/validate_index.Rd
74626b3dc6ff8b2d5bd8367fb0c7978a *tests/testthat.R
53691ef4054698ee60eeff5fd82e2724 *tests/testthat/test_sw_sweep.R
a232c42689e628109351191bddaed204 *tests/testthat/test_tidiers_StructTS.R
fcca4b0774fe6533047505580ddb8224 *tests/testthat/test_tidiers_arima.R
e5d1335fb3c964f1f7ff18ffeef1239b *tests/testthat/test_tidiers_bats_tbats.R
042378e2426aa6cc7105e7625388f4fa *tests/testthat/test_tidiers_decomposed_ts.R
f93055571902908b95e3591b72c54eb1 *tests/testthat/test_tidiers_ets.R
3f5cd50504ff250ced7bdd0460e531d4 *tests/testthat/test_tidiers_hw.R
e72151564360ce9caeaa4f4378e6e6f4 *tests/testthat/test_tidiers_lm.R
7760aa28dfeb529a55dce1ae8187b034 *tests/testthat/test_tidiers_nnetar.R
3cba8cbee71ec4010911261467693492 *tests/testthat/test_tidiers_stl.R
4307add6bc7c22c2d2e063415c106b5b *vignettes/SW00_Introduction_to_sweep.Rmd
8573788335c0788cf5cafea7180bec28 *vignettes/SW01_Forecasting_Time_Series_Groups.Rmd
ea4b07e2e4e99c8f4b6eb36be8137285 *vignettes/SW02_Forecasting_Multiple_Models.Rmd
