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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 833.8 kB | win-64/r-fable-0.4.0-r44h8ae3a7c_0.conda  1 year and 6 months ago 315 main
conda 822.3 kB | win-64/r-fable-0.4.0-r43h8ae3a7c_0.conda  1 year and 6 months ago 306 main
conda 827.4 kB | osx-64/r-fable-0.4.0-r43hc83a2cd_0.conda  1 year and 6 months ago 219 main
conda 839.0 kB | osx-64/r-fable-0.4.0-r44hc83a2cd_0.conda  1 year and 6 months ago 216 main
conda 834.0 kB | linux-64/r-fable-0.4.0-r43h93ab643_0.conda  1 year and 6 months ago 1453 main
conda 842.8 kB | linux-64/r-fable-0.4.0-r44h93ab643_0.conda  1 year and 6 months ago 1510 main

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