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 |
| Reference manual: | timetk.pdf |
| Vignettes: |
Visualizing Time Series |
| Package source: | timetk_2.9.0.tar.gz |
| Windows binaries: | r-devel: timetk_2.9.0.zip, r-release: timetk_2.9.0.zip, r-oldrel: timetk_2.9.0.zip |
| macOS binaries: | r-release (arm64): timetk_2.9.0.tgz, r-oldrel (arm64): timetk_2.9.0.tgz, r-release (x86_64): timetk_2.9.0.tgz, r-oldrel (x86_64): timetk_2.9.0.tgz |
| Old sources: | timetk archive |
| Reverse imports: | alphavantager, anomalize, FFdownload, finnts, healthyR, healthyR.ts, modeltime, modeltime.ensemble, modeltime.resample, PortalHacienda, RTL, sweep, tidyquant |
| Reverse suggests: | cleanTS, healthyR.ai, iForecast, tsgc |
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