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timetk  

A Tool Kit for Working with Time Series
View on CRAN: Click here


Download and install timetk package within the R console
Install from CRAN:
install.packages("timetk")

Install from Github:
library("remotes")
install_github("cran/timetk")

Install by package version:
library("remotes")
install_version("timetk", "2.9.0")



Attach the package and use:
library("timetk")
Maintained by
Matt Dancho
[Scholar Profile | Author Map]
First Published: 2017-07-25
Latest Update: 2023-10-31
Description:
Easy visualization, wrangling, and feature engineering of time series data for forecasting and machine learning prediction. Consolidates and extends time series functionality from packages including 'dplyr', 'stats', 'xts', 'forecast', 'slider', 'padr', 'recipes', and 'rsample'.
How to cite:
Matt Dancho (2017). timetk: A Tool Kit for Working with Time Series. R package version 2.9.0, https://cran.r-project.org/web/packages/timetk. Accessed 04 May. 2025.
Previous versions and publish date:
0.1.0 (2017-07-25 23:43), 0.1.1.1 (2018-08-19 10:51), 0.1.1 (2018-05-14 21:43), 0.1.2 (2019-09-25 15:50), 0.1.3 (2020-03-18 16:20), 1.0.0 (2020-04-19 19:50), 2.0.0 (2020-05-31 06:20), 2.1.0 (2020-07-03 13:40), 2.2.0 (2020-07-18 08:00), 2.2.1 (2020-09-01 14:00), 2.3.0 (2020-09-29 12:00), 2.4.0 (2020-10-08 19:40), 2.5.0 (2020-10-22 17:40), 2.6.0 (2020-11-21 15:10), 2.6.1 (2021-01-18 18:40), 2.6.2 (2021-11-16 08:00), 2.7.0 (2022-01-19 16:20), 2.8.0 (2022-04-07 14:20), 2.8.1 (2022-05-31 23:10), 2.8.2 (2022-11-17 20:30), 2.8.3 (2023-03-30 16:20), 2.8.4 (2023-09-22 14:30)
Other packages that cited timetk R package
View timetk citation profile
Other R packages that timetk depends, imports, suggests or enhances
Complete documentation for timetk
Functions, R codes and Examples using the timetk R package
Some associated functions: FANG . anomalize . between_time . bike_sharing_daily . box_cox_vec . condense_period . diff_vec . filter_by_time . filter_period . fourier_vec . future_frame . is_date_class . lag_vec . log_interval_vec . m4_daily . m4_hourly . m4_monthly . m4_quarterly . m4_weekly . m4_yearly . mutate_by_time . normalize_vec . pad_by_time . parse_date2 . plot_acf_diagnostics . plot_anomalies . plot_anomaly_diagnostics . plot_seasonal_diagnostics . plot_stl_diagnostics . plot_time_series . plot_time_series_boxplot . plot_time_series_cv_plan . plot_time_series_regression . required_pkgs.timetk . slice_period . slidify . slidify_vec . smooth_vec . standardize_vec . step_box_cox . step_diff . step_fourier . step_holiday_signature . step_log_interval . step_slidify . step_slidify_augment . step_smooth . step_timeseries_signature . step_ts_clean . step_ts_impute . step_ts_pad . summarise_by_time . taylor_30_min . tidyeval . time_arithmetic . time_series_cv . time_series_split . timetk-package . tk_acf_diagnostics . tk_anomaly_diagnostics . tk_augment_differences . tk_augment_fourier . tk_augment_holiday . tk_augment_lags . tk_augment_slidify . tk_augment_timeseries . tk_get_frequency . tk_get_holiday . tk_get_timeseries . tk_get_timeseries_unit_frequency . tk_get_timeseries_variables . tk_index . tk_make_future_timeseries . tk_make_holiday_sequence . tk_make_timeseries . tk_seasonal_diagnostics . tk_stl_diagnostics . tk_summary_diagnostics . tk_tbl . tk_time_scale_template . tk_time_series_cv_plan . tk_ts . tk_ts_dispatch_ . tk_tsfeatures . tk_xts . tk_zoo . tk_zooreg . tk_zooreg_dispatch_ . ts_clean_vec . ts_impute_vec . walmart_sales_weekly . wikipedia_traffic_daily . 
Some associated R codes: 00_global_vars.R . anomalize-plotting.R . anomalize.R . augment-tk_augment_differences.R . augment-tk_augment_fourier.R . augment-tk_augment_holiday_signature.R . augment-tk_augment_lags.R . augment-tk_augment_slidify.R . augment-tk_augment_timeseries.R . coersion-tk_tbl.R . coersion-tk_ts.R . coersion-tk_xts.R . coersion-tk_zoo.R . coersion-tk_zooreg.R . data-bike_sharing.R . data-fang.R . data-m4_daily.R . data-m4_hourly.R . data-m4_monthly.R . data-m4_quarterly.R . data-m4_weekly.R . data-m4_yearly.R . data-taylor_30_min.R . data-walmart_sales_weekly.R . data-wikipedia_traffic_daily.R . diagnostics-tk_acf_diagnostics.R . diagnostics-tk_anomaly_diagnostics.R . diagnostics-tk_seasonal_diagnostics.R . diagnostics-tk_stl_diagnostics.R . diagnostics-tk_summary_diagnostics.R . diagnostiscs-tsfeatures.R . dplyr-add_time.R . dplyr-between_time.R . dplyr-condense_period.R . dplyr-filter_by_time.R . dplyr-filter_period.R . dplyr-future_frame.R . dplyr-mutate_by_time.R . dplyr-pad_by_time.R . dplyr-slice_period.R . dplyr-slidify.R . dplyr-summarise_by_time.R . get-tk_get_frequency.R . get-tk_get_holiday_signature.R . get-tk_get_time_scale_template.R . get-tk_get_timeseries.R . index-tk_index.R . lubridate-date_parsers.R . make-tk_make_holiday_sequences.R . make-tk_make_timeseries.R . make-tk_make_timeseries_future.R . plot-acf_diagnostics.R . plot-anomaly_diagnostics.R . plot-seasonal_diagnostics.R . plot-stl_diagnostics.R . plot-time_series.R . plot-time_series_boxplot.R . plot-time_series_regression.R . recipes-step_box_cox.R . recipes-step_diff.R . recipes-step_fourier.R . recipes-step_holiday_signature.R . recipes-step_log_interval.R . recipes-step_slidify.R . recipes-step_slidify_augment.R . recipes-step_smooth.R . recipes-step_timeseries_signature.R . recipes-step_ts_clean.R . recipes-step_ts_impute.R . recipes-step_ts_pad.R . rsample-plot_time_series_cv_plan.R . rsample-time_series_cv.R . rsample-time_series_split.R . rsample-tk_time_series_cv_plan.R . tidyquant-theme-compat.R . timetk-package.R . utils-bind_cols_overwrite.R . utils-dates.R . utils-parse-time.R . utils-parse_period.R . utils-tidy-eval.R . vec-box_cox.R . vec-diff.R . vec-fourier.R . vec-lag.R . vec-log_interval.R . vec-normalize.R . vec-slidify.R . vec-smooth.R . vec-standardize.R . vec-ts_clean.R . vec-ts_impute.R . zzz.R .  Full timetk package functions and examples
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