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" (<https://otexts.com/fpp2/>). Refer to "Prophet: forecasting at scale" (<https://research.facebook.com/blog/2017/02/prophet-forecasting-at-scale/>.).

Version:	1.3.1
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, workflowsets, recipes, rsample, tune (≥ 0.2.0), lubridate, testthat, kernlab, glmnet, thief, smooth, greybox, earth, randomForest, trelliscopejs, knitr, rmarkdown (≥ 2.9), webshot, qpdf, TSrepr
Published:	2024-10-22
DOI:	10.32614/CRAN.package.modeltime
Author:	Matt Dancho [aut, cre], Business Science [cph]
Maintainer:	Matt Dancho <mdancho at business-science.io>
BugReports:	https://github.com/business-science/modeltime/issues
License:	MIT + file LICENSE
URL:	https://github.com/business-science/modeltime, https://business-science.github.io/modeltime/
NeedsCompilation:	no
Materials:	README NEWS
In views:	TimeSeries
CRAN checks:	modeltime results

Documentation:

Reference manual:	modeltime.pdf
Vignettes:	Getting Started with Modeltime (source, R code)

Downloads:

Package source:	modeltime_1.3.1.tar.gz
Windows binaries:	r-devel: modeltime_1.3.1.zip, r-release: modeltime_1.3.1.zip, r-oldrel: modeltime_1.3.1.zip
macOS binaries:	r-release (arm64): modeltime_1.3.1.tgz, r-oldrel (arm64): modeltime_1.3.1.tgz, r-release (x86_64): modeltime_1.3.1.tgz, r-oldrel (x86_64): modeltime_1.3.1.tgz
Old sources:	modeltime archive

Reverse dependencies:

Reverse depends:	finnts, modeltime.ensemble, modeltime.resample
Reverse imports:	healthyR.ai, healthyR.ts
Reverse suggests:	timetk

Linking:

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