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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-post-staging / r-fable
Type Size Name Uploaded Downloads Labels
conda 879.4 kB | osx-64/r-fable-0.5.0-r45hed9a748_0.conda  2 months and 21 days ago 32 main
conda 877.9 kB | osx-64/r-fable-0.5.0-r44hed9a748_0.conda  2 months and 21 days ago 30 main
conda 874.5 kB | win-64/r-fable-0.5.0-r45hd8a2815_0.conda  2 months and 21 days ago 49 main
conda 872.1 kB | win-64/r-fable-0.5.0-r44hd8a2815_0.conda  2 months and 21 days ago 38 main
conda 881.3 kB | linux-64/r-fable-0.5.0-r45h3697838_0.conda  2 months and 21 days ago 249 main
conda 882.5 kB | linux-64/r-fable-0.5.0-r44h3697838_0.conda  2 months and 21 days ago 210 main

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