fable
An R package for tidy time series forecasting with models like ETS and ARIMA, integrated with the tidyverse.
What is fable?
fable is an R package for tidy time series forecasting, providing a collection of commonly used univariate and multivariate forecasting models like exponential smoothing (ETS) and automatic ARIMA. It solves the problem of integrating forecasting workflows with the tidyverse, offering tools to evaluate, visualize, and combine models in a consistent and reproducible manner.
Data analysts, data scientists, and researchers using R for time series analysis and forecasting, particularly those who work within the tidyverse ecosystem.
Developers choose fable for its seamless integration with the tidyverse, providing a consistent workflow for forecasting that includes model evaluation, visualization, and combination, along with support for both univariate and multivariate models.
Overview
Tidy time series forecasting
Use Cases
Best For
- Building reproducible time series forecasting pipelines in R
- Integrating forecasting models with tidyverse data manipulation workflows
Related Projects
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