modeltime: The Tidymodels Extension for Time Series Modeling

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" (<>). Refer to "Prophet: forecasting at scale" (<>.).

Version: 0.2.1
Depends: R (≥ 3.5.0)
Imports: StanHeaders, timetk (≥ 2.1.0), parsnip (≥ 0.1.3), dials, yardstick, workflows (≥ 0.1.3), hardhat, rlang (≥ 0.1.2), glue, plotly, reactable, gt, ggplot2, tibble, tidyr, dplyr, purrr, stringr, forcats, scales, janitor, progressr, magrittr, forecast, xgboost, prophet, methods
Suggests: rstan, tidymodels, recipes, rsample, tune, tidyverse, lubridate, testthat, roxygen2, kernlab, earth, randomForest, tidyquant, knitr, rmarkdown, webshot
Published: 2020-10-08
Author: Matt Dancho [aut, cre], Business Science [cph]
Maintainer: Matt Dancho <mdancho at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: modeltime results


Reference manual: modeltime.pdf
Vignettes: Extending Modeltime
Getting Started with Modeltime
Package source: modeltime_0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: modeltime_0.2.1.tgz, r-oldrel: modeltime_0.2.1.tgz
Old sources: modeltime archive

Reverse dependencies:

Reverse depends: modeltime.ensemble
Reverse suggests: timetk


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