e573dd4d399959b57a86380839e3819e *DESCRIPTION
57a8b0f710a41036a777c91a8057ef5c *INDEX
01fb61947dd89733345e7930899f4a8c *Meta/Rd.rds
80469aea472a26e2ff8e27a05cedd0ba *Meta/data.rds
ca04ccf631c43a2c5e4c01e6096946dd *Meta/features.rds
f3a692d08ca5b6efda2e7eff0100ec63 *Meta/hsearch.rds
633b75168f672ad4816cecde0b18f12c *Meta/links.rds
872568f6edb1d7c097bc496b4305c93c *Meta/nsInfo.rds
38c891e4b26c7168774e8740059e695a *Meta/package.rds
bd74b153c8a363000c4c8cccb86fe5a1 *Meta/vignette.rds
cae096eeb844de2211edc4be9d9dde33 *NAMESPACE
32d4c5fe493aefbadd5b3be83a99f5d5 *NEWS.md
ebf0fc819595d631b8bf280c4b049940 *R/timetk
9fe26b50a3295b9e96c99bdefa583926 *R/timetk.rdb
f92cff4935378385e65d244ca37d9272 *R/timetk.rdx
e915d6de3ffc2a925a8ffda33cf52f49 *data/Rdata.rdb
941a020fb0b79dbd27058d5d92331141 *data/Rdata.rds
80f8ef78ab99cff0fbaca15d0b5bb9fb *data/Rdata.rdx
f61a86b496594d29c7cbfcf70447669a *doc/TK04_Plotting_Time_Series.R
9fa8a89dab1311b2c29f30d95d7dec62 *doc/TK04_Plotting_Time_Series.Rmd
7d0a9f260bacd57abf7a420d6cb0a5ef *doc/TK04_Plotting_Time_Series.html
1d1e60b58494b811480763f771722a31 *doc/TK05_Plotting_Seasonality_and_Correlation.R
2c38789ca6202efd8c0fbf6ebf22f3cf *doc/TK05_Plotting_Seasonality_and_Correlation.Rmd
f9958735d8150d31338952d93ab5df78 *doc/TK05_Plotting_Seasonality_and_Correlation.html
4a1a9455f5c59679638efccaa779b54c *doc/index.html
93cf6f14bcbae460e86b867dbb73a68a *help/AnIndex
159cdec6a6f739017a57682dea7092e4 *help/aliases.rds
42bcb1cea700b68a1999f29504882b72 *help/figures/README-unnamed-chunk-3-1.png
e3097a15cc6266abf1aca8a66c77da3b *help/figures/README-unnamed-chunk-4-1.png
6d7e0579787a9af8251d766af78631c5 *help/figures/README-unnamed-chunk-5-1.png
216d7579ff7c8d38fc8d3b7014ec6e0f *help/figures/README-unnamed-chunk-6-1.png
216d7579ff7c8d38fc8d3b7014ec6e0f *help/figures/README-unnamed-chunk-7-1.png
8a8f959b9e03e1ca108af6b35e555eaa *help/figures/bikes_forecast.png
544f1079c89aaca49f93db37307767ff *help/figures/frequency_prediciton.png
24dd2ae76410cdccd6a977d0a1a929d2 *help/figures/logo.png
d3f4c7e44d969ab3ae43e4eae5a94aa4 *help/paths.rds
ae23618322ebc6bef54bc7fa99a84d35 *help/timetk.rdb
85794beca03e18e4317ed89c9e22c0bb *help/timetk.rdx
5581e961ca012d04b6961d4bc1fff18a *html/00Index.html
b6763e6916890c631fdc3f2643803b1a *html/R.css
2cf2f6c02466c3db6911e3b119204c39 *html/between_time.html
4af4b1dd25a449c5d8bc45d80da72a72 *html/bike_sharing_daily.html
0729eb7d14d1b81fc85439c3099511b2 *html/box_cox_vec.html
180c1f12d0f5f5d1379f7db8735fa827 *html/diff_vec.html
3348bf3c4622ef6f22563540f1a989b4 *html/filter_by_time.html
d63a971706f379c0a4dfe9b754bcbd39 *html/fourier_vec.html
f99f858ac7a35a393bf012b1b2dc1bfd *html/future_frame.html
6cc1f57e8b8a642a0b184098cb724393 *html/is_date_class.html
552295f859929ddbd41b22a08110d209 *html/lag_vec.html
59da998a54a95a5eeeae48b21251c3ee *html/log_interval_vec.html
8cd96bc76c03674c839a998957d5edc4 *html/m4_daily.html
9716ce71ba098054a71d69c25830d768 *html/m4_hourly.html
787ff2277bc9abc922478dfeee32836d *html/m4_monthly.html
b52af143483bec848e08dcfa3cfea3bc *html/m4_quarterly.html
5d4f18bb2400153049dcd6d80d6c2b60 *html/m4_weekly.html
71eb874eb490f28b8eaf60e2b6f4f827 *html/m4_yearly.html
596249221286ae810d9dd5b36710a5e6 *html/mutate_by_time.html
bc27ffeceac6ca9e0a1a7cd7ba116d1f *html/normalize_vec.html
36d4784d806ecb6f53219738f45ddba8 *html/pad_by_time.html
f3430683f13e8223c6c5505bd923d262 *html/parse_date2.html
3c41b46af8e224cd7e25c23aae59ed15 *html/plot_acf_diagnostics.html
0b6ac2671a8854cd3507f6fa12ca1c92 *html/plot_anomaly_diagnostics.html
9da78ba659fd52e76e165b8fdb7aa80f *html/plot_seasonal_diagnostics.html
9f30df7653dfd4d580a0ab9f97f4860f *html/plot_stl_diagnostics.html
7c8b48091ee89996e1e1c0016f42a22e *html/plot_time_series.html
6896eadfdb9e806b1429f30888f19c03 *html/plot_time_series_cv_plan.html
46a41abf031d7c088011bea8c4eebb30 *html/plot_time_series_regression.html
296f94f747462f8ac13f6601a48344ef *html/slidify.html
fd84b9862f3fe701fe88e91ae5a9d571 *html/slidify_vec.html
50f6bb2559ed81bb40b2e0f754354db6 *html/smooth_vec.html
b7491ef9fab25d598b2d90cd0da02b1d *html/standardize_vec.html
695c50adbb8b371a41347010fc2846a8 *html/step_box_cox.html
ad2ac7c1da6baecd3986dcc9a57e9b1c *html/step_diff.html
968b76ed37d295690745eb48e92134ed *html/step_fourier.html
0c097a5d7cf4604eaf43e25a5e76a352 *html/step_holiday_signature.html
c98a875176d0024b6e6bd99a02ba81e4 *html/step_slidify.html
4fb06f47925fd0df42f11ba970d3bb3c *html/step_smooth.html
d9a886436d4dc26232c9e23c3a543eed *html/step_timeseries_signature.html
b1e61af618744c39b9bfbf8c89de99ff *html/step_ts_clean.html
6b7a6daa90d40f7047db3f61787ab438 *html/step_ts_impute.html
f47cd47f452cb8aab80a7f018eb88a6a *html/step_ts_pad.html
b767d7a50402930b2c4c59c3c182ec80 *html/summarise_by_time.html
42e16498af116e5b0e2c9fc77b72ed65 *html/taylor_30_min.html
4da4852de33933188c37482d5464dfc9 *html/tidyeval.html
c95db941bbeb1cc0ec31ff937f995d91 *html/time_arithmetic.html
2e152048de827d598166c8a43e01e876 *html/time_series_cv.html
6db365e964f5654d9647d5df99eb38d8 *html/time_series_split.html
4bdb3896857f4eb5028cb262ca1b68c6 *html/timetk.html
6b552a72f6728347980b96b3efbb7ff6 *html/timetk_internal.html
575a4956c4096b8f365ecdb00dd38575 *html/tk_acf_diagnostics.html
c5be09a7c3cba4507809310e2f20f6ce *html/tk_anomaly_diagnostics.html
1dfc8d0703018bdeba26c5d717774ebd *html/tk_augment_differences.html
bf963972f80e609f58d328b0356e6302 *html/tk_augment_fourier.html
ee0051f9b7cf2480cfcb6b71134c31b0 *html/tk_augment_holiday.html
0b8802ad971fbcbad2ed381309003274 *html/tk_augment_lags.html
8e4450aade415d7a8f0dfa471ebfa7b7 *html/tk_augment_slidify.html
4364810c4b1c5075ab946fdc1534bff6 *html/tk_augment_timeseries.html
1fda74870a44e501117427bf211a5b1c *html/tk_get_frequency.html
1c8d2292447d1574db8fc7d109e4ee15 *html/tk_get_holiday.html
802030811a3485a734b3208c2140790d *html/tk_get_timeseries.html
879ce8c4ea16f5c574f5b115304dd80f *html/tk_get_timeseries_unit_frequency.html
74a3d5d5ae6e90148ce4aedfe61b8450 *html/tk_get_timeseries_variables.html
c31ab2994247d6066445e3d8ed5b09d6 *html/tk_index.html
744842a7b7900ac88c02db86ba6be168 *html/tk_make_future_timeseries.html
3d8259c85465740c5bb9b9b5c16c6051 *html/tk_make_holiday_sequence.html
06f58d5020ca9c75bd2c8951a266d229 *html/tk_make_timeseries.html
07f9777bd48f59ccaf49fe79fc77a2af *html/tk_seasonal_diagnostics.html
9c9c8271176ca8c2224f7e191cff6dab *html/tk_stl_diagnostics.html
b4f11ec4977ccc2cf20e8385ed0642f9 *html/tk_summary_diagnostics.html
3e5d70ae57ad077108f1c41a0e5a3bee *html/tk_tbl.html
2158d8f0db9e2338cd7640919580d930 *html/tk_time_scale_template.html
206ddd93a186e78f77c8902767041338 *html/tk_time_series_cv_plan.html
5264e5bb37d47d98a0a62c6adba6376f *html/tk_ts.html
fd4461ecab9cc4db9364167042f7ab1a *html/tk_xts.html
c371a70c8a479a437ffd16cf98ff8d8d *html/tk_zoo.html
828a76e5ae4723beb1d78fd71baa06f8 *html/tk_zooreg.html
f65f51f248c2138faf23eb9fe0ce0d85 *html/ts_clean_vec.html
d96760794bd485718fdd23316def9b4c *html/ts_impute_vec.html
651ddef68474db21ae7d8e07bb4ac4c7 *html/walmart_sales_weekly.html
0bcee5307ba1cec61ad86be719b140e6 *html/wikipedia_traffic_daily.html
