A Tool Kit for Working with Time Series R package timetk version 2.9.1 CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries) 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'. Software Depends: R (>= 3.3.0) Imports: recipes (>= 1.0.4), rsample, dplyr (>= 1.0.0), ggplot2 (>= 3.4.0), forcats, stringr, plotly, lubridate (>= 1.6.0), padr (>= 0.5.2), purrr (>= 0.2.2), readr (>= 1.3.0), stringi (>= 1.4.6), tibble (>= 3.0.3), tidyr (>= 1.1.0), xts (>= 0.9-7), zoo (>= 1.7-14), rlang (>= 1.1.1), tidyselect (>= 1.1.0), slider, anytime, timeDate, forecast, tsfeatures, hms, generics Suggests: modeltime, glmnet, workflows, parsnip, tune (>= 0.1.2), knitr, rmarkdown, broom, scales, testthat, fracdiff, timeSeries, tseries, trelliscopejs Matt Dancho <mdancho@business-science.io> Comprehensive R Archive Network (CRAN) Matt Dancho [aut, cre], Davis Vaughan [aut] GPL (>= 3) 2025-08-29 application/tgz https://CRAN.R-project.org/package=timetk doi:10.32614/CRAN.package.timetk