Package: modeltime
Title: The Tidymodels Extension for Time Series Modeling
Version: 1.3.5
Authors@R: c(
    person("Matt", "Dancho", email = "mdancho@business-science.io", role = c("aut", "cre")),
    person("Business Science", role = "cph"))
Description: The time series forecasting framework for use with the
        'tidymodels' ecosystem. Models include ARIMA, Exponential
        Smoothing, and additional time series models from the
        'forecast' and 'prophet' packages. Refer to "Forecasting
        Principles & Practice, Second edition"
        (<https://otexts.com/fpp2/>). Refer to "Prophet: forecasting at
        scale"
        (<https://research.facebook.com/blog/2017/02/prophet-forecasting-at-scale/>.).
URL: https://github.com/business-science/modeltime,
        https://business-science.github.io/modeltime/
BugReports: https://github.com/business-science/modeltime/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: StanHeaders, timetk (>= 2.8.1), parsnip (>= 0.2.1), dials,
        yardstick (>= 0.0.8), workflows (>= 1.0.0), hardhat (>= 1.0.0),
        rlang (>= 0.1.2), glue, plotly, reactable, gt, ggplot2, tibble,
        tidyr, dplyr (>= 1.1.0), purrr, stringr, forcats, scales,
        janitor, parallel, parallelly, doParallel, foreach, magrittr,
        forecast, xgboost (>= 1.2.0.1), prophet, methods, cli,
        tidymodels
Suggests: rstan, slider, sparklyr, doRNG, workflowsets, recipes,
        rsample, tune (>= 0.2.0), lubridate, testthat, kernlab, glmnet,
        thief, smooth, greybox, earth, randomForest, trelliscopejs,
        knitr, rmarkdown (>= 2.9), webshot, qpdf, TSrepr, future,
        doFuture
Roxygen: list(markdown = TRUE)
VignetteBuilder: knitr
RoxygenNote: 7.3.3
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libxml2-dev
        libssl-dev libnode-dev libx11-dev
Repository: https://business-science.r-universe.dev
Date/Publication: 2026-01-30 19:39:20 UTC
RemoteUrl: https://github.com/business-science/modeltime
RemoteRef: HEAD
RemoteSha: 3d596e69b5cdaf823f91c7f9a387d1fd73dde1fd
NeedsCompilation: no
Packaged: 2026-07-04 16:02:09 UTC; root
Author: Matt Dancho [aut, cre],
  Business Science [cph]
Maintainer: Matt Dancho <mdancho@business-science.io>