High-Performance Open-Source Archive
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/>.).
| Reference manual: | modeltime.html , modeltime.pdf |
| Vignettes: |
Getting Started with Modeltime (source, R code) |
| Package source: | modeltime_1.3.5.tar.gz |
| Windows binaries: | r-devel: modeltime_1.3.5.zip, r-release: modeltime_1.3.5.zip, r-oldrel: modeltime_1.3.5.zip |
| macOS binaries: | r-release (arm64): modeltime_1.3.5.tgz, r-oldrel (arm64): modeltime_1.3.5.tgz, r-release (x86_64): modeltime_1.3.5.tgz, r-oldrel (x86_64): modeltime_1.3.5.tgz |
| Old sources: | modeltime archive |
| Reverse depends: | finnts, modeltime.ensemble, modeltime.resample |
| Reverse imports: | healthyR.ai, healthyR.ts, LLMAgentR |
| Reverse suggests: | timetk |
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