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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
Type Size Name Uploaded Downloads Labels
conda 833.8 kB | win-64/r-fable-0.4.0-r44h8ae3a7c_0.conda  11 months and 12 hours ago 275 main
conda 822.3 kB | win-64/r-fable-0.4.0-r43h8ae3a7c_0.conda  11 months and 12 hours ago 266 main
conda 827.4 kB | osx-64/r-fable-0.4.0-r43hc83a2cd_0.conda  11 months and 12 hours ago 184 main
conda 839.0 kB | osx-64/r-fable-0.4.0-r44hc83a2cd_0.conda  11 months and 12 hours ago 180 main
conda 834.0 kB | linux-64/r-fable-0.4.0-r43h93ab643_0.conda  11 months and 12 hours ago 1003 main
conda 842.8 kB | linux-64/r-fable-0.4.0-r44h93ab643_0.conda  11 months and 12 hours ago 1033 main

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