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Provides a collection of commonly used univariate and multivariate time series forecasting models including automatically selected exponential smoothing (ETS) and autoregressive integrated moving average (ARIMA) models. These models work within the 'fable' framework provided by the 'fabletools' package, which provides the tools to evaluate, visualise, and combine models in a workflow consistent with the tidyverse.

copied from cf-staging / r-fable

Installers

Info: This package contains files in non-standard labels.
  • linux-64 v0.4.1
  • osx-64 v0.4.1
  • win-64 v0.4.1

conda install

To install this package run one of the following:
conda install conda-forge::r-fable
conda install conda-forge/label/cf202003::r-fable

Description


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