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'.
Version: 2.9.0 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 Published: 2023-10-31 DOI: 10.32614/CRAN.package.timetk Author: Matt Dancho [aut, cre], Davis Vaughan [aut] Maintainer: Matt Dancho <mdancho at business-science.io> BugReports: https://github.com/business-science/timetk/issues License: GPL (≥ 3) URL: https://github.com/business-science/timetk, https://business-science.github.io/timetk/ NeedsCompilation: no Materials: README, NEWS In views: TimeSeries CRAN checks: timetk results [issues need fixing before 2025-09-03] Documentation: Downloads: Reverse dependencies: Reverse imports: alphavantager, anomalize, FFdownload, finnts, healthyR, healthyR.ts, LLMAgentR, modeltime, modeltime.ensemble, modeltime.resample, PortalHacienda, RTL, sweep, tidyquant, tidyspec Reverse suggests: bspcov, cleanTS, healthyR.ai, tsgc Linking:Please use the canonical form https://CRAN.R-project.org/package=timetk to link to this page.
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