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: |
2.8.1 |
| Depends: |
R (≥ 3.3.0) |
| Imports: |
recipes (≥ 0.2.0), rsample, dplyr (≥ 1.0.0), ggplot2, 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 (≥ 0.4.7), tidyselect (≥ 1.1.0), slider, anytime, timeDate, forecast, tsfeatures, hms, assertthat, generics |
| Suggests: |
tidyquant, tidymodels, modeltime, workflows, parsnip, tune, yardstick, tidyverse, knitr, rmarkdown, robets, broom, scales, testthat, fracdiff, timeSeries, tseries, trelliscopejs, roxygen2, covr |
| Published: |
2022-05-31 |
| 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 |