timetk/DESCRIPTION at master · business-science/timetk · GitHub

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Package: timetk
Type: Package
Title: A Tool Kit for Working with Time Series
Version: 2.9.1.9000
Authors@R: c(
    person("Matt", "Dancho", email = "mdancho@business-science.io", role = c("aut", "cre")),
    person("Davis", "Vaughan", email = "dvaughan@business-science.io", role = c("aut"))
  )
Description:
    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'.
URL: https://github.com/business-science/timetk,
    https://business-science.github.io/timetk/
BugReports: https://github.com/business-science/timetk/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
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
RoxygenNote: 7.3.2
Roxygen: list(markdown = TRUE)
VignetteBuilder: knitr