The Tidymodels Extension for Time Series Modeling R package modeltime version 1.3.5 CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries) 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/>.). Software 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 Matt Dancho <mdancho@business-science.io> Comprehensive R Archive Network (CRAN) Matt Dancho [aut, cre], Business Science [cph] MIT + file LICENSE (https://CRAN.R-project.org/package=modeltime/LICENSE) 2026-01-31 application/tgz https://CRAN.R-project.org/package=modeltime doi:10.32614/CRAN.package.modeltime