Files in business-science/timekit
A Tool Kit for Working with Time Series in R

.DS_Store
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CRAN-RELEASE
CRAN-SUBMISSION
DESCRIPTION
NAMESPACE
NEWS.md R/00_global_vars.R R/augment-tk_augment_differences.R R/augment-tk_augment_fourier.R R/augment-tk_augment_holiday_signature.R R/augment-tk_augment_lags.R R/augment-tk_augment_slidify.R R/augment-tk_augment_timeseries.R R/coersion-tk_tbl.R R/coersion-tk_ts.R R/coersion-tk_xts.R R/coersion-tk_zoo.R R/coersion-tk_zooreg.R R/data-bike_sharing.R R/data-m4_daily.R R/data-m4_hourly.R R/data-m4_monthly.R R/data-m4_quarterly.R R/data-m4_weekly.R R/data-m4_yearly.R R/data-taylor_30_min.R R/data-walmart_sales_weekly.R R/data-wikipedia_traffic_daily.R R/diagnostics-tk_acf_diagnostics.R R/diagnostics-tk_anomaly_diagnostics.R R/diagnostics-tk_seasonal_diagnostics.R R/diagnostics-tk_stl_diagnostics.R R/diagnostics-tk_summary_diagnostics.R R/diagnostiscs-tsfeatures.R R/dplyr-add_time.R R/dplyr-between_time.R R/dplyr-condense_period.R R/dplyr-filter_by_time.R R/dplyr-filter_period.R R/dplyr-future_frame.R R/dplyr-mutate_by_time.R R/dplyr-pad_by_time.R R/dplyr-slice_period.R R/dplyr-slidify.R R/dplyr-summarise_by_time.R R/get-tk_get_frequency.R R/get-tk_get_holiday_signature.R R/get-tk_get_time_scale_template.R R/get-tk_get_timeseries.R R/index-tk_index.R R/lubridate-date_parsers.R R/make-tk_make_holiday_sequences.R R/make-tk_make_timeseries.R R/make-tk_make_timeseries_future.R R/plot-acf_diagnostics.R R/plot-anomaly_diagnostics.R R/plot-seasonal_diagnostics.R R/plot-stl_diagnostics.R R/plot-time_series.R R/plot-time_series_boxplot.R R/plot-time_series_regression.R R/recipes-step_box_cox.R R/recipes-step_diff.R R/recipes-step_fourier.R R/recipes-step_holiday_signature.R R/recipes-step_log_interval.R R/recipes-step_slidify.R R/recipes-step_slidify_augment.R R/recipes-step_smooth.R R/recipes-step_timeseries_signature.R R/recipes-step_ts_clean.R R/recipes-step_ts_impute.R R/recipes-step_ts_pad.R R/rsample-plot_time_series_cv_plan.R R/rsample-time_series_cv.R R/rsample-time_series_split.R R/rsample-tk_time_series_cv_plan.R R/tidyquant-theme-compat.R R/timetk-package.R R/utils-bind_cols_overwrite.R R/utils-dates.R R/utils-parse-time.R R/utils-parse_period.R R/utils-tidy-eval.R R/vec-box_cox.R R/vec-diff.R R/vec-fourier.R R/vec-lag.R R/vec-log_interval.R R/vec-normalize.R R/vec-slidify.R R/vec-smooth.R R/vec-standardize.R R/vec-ts_clean.R R/vec-ts_impute.R R/zzz.R README.Rmd README.md
_pkgdown.yml
codecov.yml
cran-comments.md
data/bike_sharing_daily.rda
data/m4_daily.rda
data/m4_hourly.rda
data/m4_monthly.rda
data/m4_quarterly.rda
data/m4_weekly.rda
data/m4_yearly.rda
data/taylor_30_min.rda
data/walmart_sales_weekly.rda
data/wikipedia_traffic_daily.rda
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index.Rmd man/between_time.Rd man/bike_sharing_daily.Rd man/box_cox_vec.Rd man/condense_period.Rd man/diff_vec.Rd
man/figures/README-unnamed-chunk-3-1.png
man/figures/README-unnamed-chunk-4-1.png
man/figures/README-unnamed-chunk-5-1.png
man/figures/README-unnamed-chunk-6-1.png
man/figures/README-unnamed-chunk-7-1.png
man/figures/README-unnamed-chunk-8-1.png
man/figures/bikes_forecast.png
man/figures/frequency_prediciton.png
man/figures/logo.png
man/filter_by_time.Rd man/filter_period.Rd man/fourier_vec.Rd man/future_frame.Rd man/is_date_class.Rd man/lag_vec.Rd man/log_interval_vec.Rd man/m4_daily.Rd man/m4_hourly.Rd man/m4_monthly.Rd man/m4_quarterly.Rd man/m4_weekly.Rd man/m4_yearly.Rd man/mutate_by_time.Rd man/normalize_vec.Rd man/pad_by_time.Rd man/parse_date2.Rd man/plot_acf_diagnostics.Rd man/plot_anomaly_diagnostics.Rd man/plot_seasonal_diagnostics.Rd man/plot_stl_diagnostics.Rd man/plot_time_series.Rd man/plot_time_series_boxplot.Rd man/plot_time_series_cv_plan.Rd man/plot_time_series_regression.Rd man/required_pkgs.timetk.Rd man/slice_period.Rd man/slidify.Rd man/slidify_vec.Rd man/smooth_vec.Rd man/standardize_vec.Rd man/step_box_cox.Rd man/step_diff.Rd man/step_fourier.Rd man/step_holiday_signature.Rd man/step_log_interval.Rd man/step_slidify.Rd man/step_slidify_augment.Rd man/step_smooth.Rd man/step_timeseries_signature.Rd man/step_ts_clean.Rd man/step_ts_impute.Rd man/step_ts_pad.Rd man/summarise_by_time.Rd man/taylor_30_min.Rd man/tidyeval.Rd man/time_arithmetic.Rd man/time_series_cv.Rd man/time_series_split.Rd man/timetk.Rd man/tk_acf_diagnostics.Rd man/tk_anomaly_diagnostics.Rd man/tk_augment_differences.Rd man/tk_augment_fourier.Rd man/tk_augment_holiday.Rd man/tk_augment_lags.Rd man/tk_augment_slidify.Rd man/tk_augment_timeseries.Rd man/tk_get_frequency.Rd man/tk_get_holiday.Rd man/tk_get_timeseries.Rd man/tk_get_timeseries_unit_frequency.Rd man/tk_get_timeseries_variables.Rd man/tk_index.Rd man/tk_make_future_timeseries.Rd man/tk_make_holiday_sequence.Rd man/tk_make_timeseries.Rd man/tk_seasonal_diagnostics.Rd man/tk_stl_diagnostics.Rd man/tk_summary_diagnostics.Rd man/tk_tbl.Rd man/tk_time_scale_template.Rd man/tk_time_series_cv_plan.Rd man/tk_ts.Rd man/tk_ts_dispatch_.Rd man/tk_tsfeatures.Rd man/tk_xts.Rd man/tk_zoo.Rd man/tk_zooreg.Rd man/tk_zooreg_dispatch_.Rd man/ts_clean_vec.Rd man/ts_impute_vec.Rd man/walmart_sales_weekly.Rd man/wikipedia_traffic_daily.Rd
pkgdown/extra.css
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pkgdown/favicon/apple-touch-icon.png
pkgdown/favicon/favicon-16x16.png
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pkgdown/favicon/favicon.ico
tests/testthat.R tests/testthat/test-dplyr-pad_by_time.R tests/testthat/test-recipes-step_timeseries_signature.R tests/testthat/test-rsample-time_series_cv.R tests/testthat/test-tk_augment_timeseries.R tests/testthat/test-tk_get_timeseries.R tests/testthat/test-tk_index.R tests/testthat/test-tk_make_timeseries.R tests/testthat/test-tk_make_timeseries_future-OLD.R tests/testthat/test-tk_make_timeseries_future.R tests/testthat/test-tk_tbl.R tests/testthat/test-tk_ts.R tests/testthat/test-tk_xts.R tests/testthat/test-tk_zoo.R tests/testthat/test-tk_zooreg.R
timetk.Rproj
vignettes/.gitignore
vignettes/TK00_Time_Series_Coercion.Rmd vignettes/TK01_Working_With_Time_Series_Index.Rmd vignettes/TK02_Time_Series_Date_Sequences.Rmd vignettes/TK03_Forecasting_Using_Time_Series_Signature.Rmd vignettes/TK04_Plotting_Time_Series.Rmd vignettes/TK05_Plotting_Seasonality_and_Correlation.Rmd vignettes/TK06_Automatic_Frequency_And_Trend_Selection.Rmd vignettes/TK07_Time_Series_Data_Wrangling.Rmd vignettes/TK08_Automatic_Anomaly_Detection.Rmd vignettes/TK09_Clustering.Rmd
vignettes/time_series_course.jpg
vignettes/timetk_version_2.jpg
business-science/timekit documentation built on Dec. 3, 2022, 12:04 p.m.