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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 9 hours ago 279 main
conda 822.3 kB | win-64/r-fable-0.4.0-r43h8ae3a7c_0.conda  1 year and 9 hours ago 270 main
conda 827.4 kB | osx-64/r-fable-0.4.0-r43hc83a2cd_0.conda  1 year and 9 hours ago 187 main
conda 839.0 kB | osx-64/r-fable-0.4.0-r44hc83a2cd_0.conda  1 year and 9 hours ago 183 main
conda 834.0 kB | linux-64/r-fable-0.4.0-r43h93ab643_0.conda  1 year and 9 hours ago 1060 main
conda 842.8 kB | linux-64/r-fable-0.4.0-r44h93ab643_0.conda  1 year and 9 hours ago 1100 main

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