timetk (1.0.0)

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A Tool Kit for Working with Time Series in R.


Easy visualization, wrangling, and preprocessing of time series data for forecasting and machine learning prediction. Methods discussed herein are commonplace in machine learning, and have been cited in various literature. Refer to "Calendar Effects" in papers such as Taieb, Souhaib Ben. "Machine learning strategies for multi-step-ahead time series forecasting." Universit Libre de Bruxelles, Belgium (2014): 75-86. .

Maintainer: Matt Dancho
Author(s): Matt Dancho [aut, cre], Davis Vaughan [aut]

License: GPL (>= 3)

Uses: assertthat, broom, dplyr, forcats, forecast, ggplot2, hms, lazyeval, lubridate, padr, plotly, purrr, readr, recipes, rlang, rsample, slider, stringi, stringr, tibble, tidyr, timeDate, xts, zoo, fracdiff, tseries, timeSeries, testthat, roxygen2, scales, knitr, rmarkdown, tidyverse, robets, tidyquant, yardstick, parsnip, workflows
Reverse suggests: alphavantager

Released about 1 month ago.

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