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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 833.1 kB | win-64/r-fable-0.4.1-r44h8ae3a7c_0.conda  9 months and 20 days ago 281 main
conda 822.0 kB | win-64/r-fable-0.4.1-r43h8ae3a7c_0.conda  9 months and 20 days ago 262 main
conda 828.4 kB | osx-64/r-fable-0.4.1-r43h2711daa_0.conda  9 months and 20 days ago 194 main
conda 838.7 kB | osx-64/r-fable-0.4.1-r44h2711daa_0.conda  9 months and 20 days ago 183 main
conda 841.8 kB | linux-64/r-fable-0.4.1-r44h93ab643_0.conda  9 months and 20 days ago 1173 main
conda 833.2 kB | linux-64/r-fable-0.4.1-r43h93ab643_0.conda  9 months and 20 days ago 974 main

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