58f97ce06638fc36e142251491d1e4ad *DESCRIPTION
f9d3fe05d8aa5a6c7c3f62e4a651ee27 *NAMESPACE
5a77003112f9a523c89f58bd719d73fb *NEWS.md
6d6bdf38185f441dcb3319d93f136175 *R/global_vars.R
6e68cfbe51a18241253a0bd80eb1cf64 *R/sales_data.R
7f544c29b360dbfa35074042f8bbddc8 *R/sw_augment.R
290b7cf328da02515706ad3480d11cbc *R/sw_glance.R
b5684a499c94418859ed940249d746f9 *R/sw_sweep.R
970ce5ba365aa883942310cc8e77252d *R/sw_tidy.R
7fff22070ae440df84d82652d842f31f *R/sw_tidy_decomp.R
09fb9c2d7c8b9d2a31200612c741b480 *R/sweep-package.R
b36c90d90b7d2759d82e97cfbcfed287 *R/tidiers_HoltWinters.R
0aedc6f30504ad90194acb5aa5aa5c70 *R/tidiers_StructTS.R
15c3dca21f8289311b52a32508266cc6 *R/tidiers_arima.R
3e702e8f2417fefb6715d3d241b8c44f *R/tidiers_bats.R
b15e6a8d43552e752312ef46cda93d86 *R/tidiers_decomposed_ts.R
80ded6dd2c3ebc424b0a1a99424f39bf *R/tidiers_ets.R
a55615818e6cbfd8350f646c94bcbc00 *R/tidiers_nnetar.R
443ad59284cc97de02a2b506af44c507 *R/tidiers_stl.R
333fbd60d8cce41b40b189e36096bb47 *R/utils-broom.R
d7aa4ad878c7f51deb1a20609a885a8b *R/utils-forecast.R
dbb3e264c3b4358cd3d7ae810c573682 *README.md
e5d6428aea6a06050f1641261cde1a43 *build/vignette.rds
9bc4a7fa035dd0cde45ca2ce2a86265a *data/bike_sales.rda
f3862bb0c74ae52d64d76deacf1faf44 *inst/doc/SW00_Introduction_to_sweep.R
6cccc53d6b41e9fefcf897137e25eef9 *inst/doc/SW00_Introduction_to_sweep.Rmd
ac50ebb6604831d1c858b2660b2ee4e0 *inst/doc/SW00_Introduction_to_sweep.html
cf870739cbc865da4eb157750b780a4d *inst/doc/SW01_Forecasting_Time_Series_Groups.R
fd314aa5d9023c92862f6b7eb41dbdc5 *inst/doc/SW01_Forecasting_Time_Series_Groups.Rmd
293ec9df3cdba18a97039e3cb924075d *inst/doc/SW01_Forecasting_Time_Series_Groups.html
887db4cd6d383c4344a9c6d8afd564a6 *inst/doc/SW02_Forecasting_Multiple_Models.R
89920c07f664e3ff12a8f3e6127faf47 *inst/doc/SW02_Forecasting_Multiple_Models.Rmd
0526560e6c5a404408feda949f99ed46 *inst/doc/SW02_Forecasting_Multiple_Models.html
e13f412358129feab45b61b14ccaaccf *man/add_index.Rd
c924cdae11f8680f16a2d22663411df4 *man/arima_string.Rd
4f58ec481a2ffaa0928a9853260e7760 *man/bats_string.Rd
1ec8d1a3ccd416482c1b1ae5e5e1381e *man/bike_sales.Rd
e4ebf69972373b44ba2d8fc5fcaa1ed8 *man/figures/forecast.png
638cad4383a6ee1770d79c044414a429 *man/figures/multiple_models.png
14768861458f7edeb07042fc730f4f5c *man/figures/sweep-logo.png
5ced983c8a86747b31326e63b6a1d17f *man/figures/time_series_groups.png
50942cc9787a310396c304edd7a2c1eb *man/reexports.Rd
8a784aa47871f24883a85c55d247e3fa *man/sw_augment.Rd
e69b85e43c91afeb1984fb05d9041ed6 *man/sw_augment.default.Rd
56208f31c1c0dfe39a7d988b87097b7e *man/sw_augment_columns.Rd
372239a6c8026456731a03a230cf3cb4 *man/sw_glance.Rd
396b82b420c9ea69cf11daf77b78c46f *man/sw_glance.default.Rd
7ad9fc3856d35630c4de2f45a723cd87 *man/sw_sweep.Rd
7f132597695e74b1edd50013a90f3020 *man/sw_tidy.Rd
7092e07a43db9841af9a1ed2fab445e5 *man/sw_tidy.default.Rd
925252c4ef49a4e1b46377794e7cd45b *man/sw_tidy_decomp.Rd
88af6c8dc38b3f3df65cdcb5c32c03a4 *man/sweep_package.Rd
5677b893f065e6de47067390de4e106f *man/tbats_string.Rd
b7ffe1b3ced56e10299c172122624077 *man/tidiers_HoltWinters.Rd
62e99b32569ce384c3ec34e96af97b11 *man/tidiers_StructTS.Rd
5fe70683032e24ddb39216bc2b7f4dad *man/tidiers_arima.Rd
58d07358cf7daadff6825e99ee670144 *man/tidiers_bats.Rd
d4acc040ed5e59fdc8100d044343d19f *man/tidiers_decomposed_ts.Rd
a887b442f49640fc6ed8c4f75e846f8c *man/tidiers_ets.Rd
bd1d9c0595041adc61b7cb40bd76972f *man/tidiers_nnetar.Rd
409e729baea3f6b50874621fc2bbd363 *man/tidiers_stl.Rd
f3a4f3899f0b672a7de486f386cdfdb3 *man/validate_index.Rd
d566f1f15a79ed820c13e8048fe85182 *tests/testthat.R
a3f0cbd073f36860ecf2290a6bb5fdeb *tests/testthat/test_sw_sweep.R
c2ace9cfd7f279c8e17b633ea2d9bc11 *tests/testthat/test_tidiers_StructTS.R
5419a3ed1f3300539816f29d7b09f56a *tests/testthat/test_tidiers_arima.R
e92f1e630c6400f144a3d20d2db7ecd2 *tests/testthat/test_tidiers_bats_tbats.R
4ffa4c3a06cb33a9c6b7437f57ced76a *tests/testthat/test_tidiers_decomposed_ts.R
2b5681984569f1aeb9cb1c584344abc8 *tests/testthat/test_tidiers_ets.R
aac25945ab08de858ab257b96e27fe7c *tests/testthat/test_tidiers_hw.R
34e728818a350e1184776e1ca9d6db8b *tests/testthat/test_tidiers_lm.R
cf147b2701105e724e1e91276edec5e0 *tests/testthat/test_tidiers_nnetar.R
12b165e2337d3efbdc6b458b6496a340 *tests/testthat/test_tidiers_stl.R
6cccc53d6b41e9fefcf897137e25eef9 *vignettes/SW00_Introduction_to_sweep.Rmd
fd314aa5d9023c92862f6b7eb41dbdc5 *vignettes/SW01_Forecasting_Time_Series_Groups.Rmd
89920c07f664e3ff12a8f3e6127faf47 *vignettes/SW02_Forecasting_Multiple_Models.Rmd
