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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 809.8 kB | win-64/r-fable-0.3.1-r41ha856d6a_0.tar.bz2  4 years and 10 months ago 829 main
conda 811.5 kB | osx-64/r-fable-0.3.1-r41h9951f98_0.tar.bz2  4 years and 10 months ago 151 main
conda 814.5 kB | linux-64/r-fable-0.3.1-r41h03ef668_0.tar.bz2  4 years and 10 months ago 3884 main
conda 824.5 kB | win-64/r-fable-0.3.1-r36ha856d6a_0.tar.bz2  4 years and 10 months ago 854 main
conda 814.4 kB | win-64/r-fable-0.3.1-r40ha856d6a_0.tar.bz2  4 years and 10 months ago 829 main
conda 812.6 kB | osx-64/r-fable-0.3.1-r36h9951f98_0.tar.bz2  4 years and 10 months ago 168 main
conda 809.8 kB | osx-64/r-fable-0.3.1-r40h9951f98_0.tar.bz2  4 years and 10 months ago 164 main
conda 816.5 kB | linux-64/r-fable-0.3.1-r40h03ef668_0.tar.bz2  4 years and 10 months ago 3362 main
conda 820.6 kB | linux-64/r-fable-0.3.1-r36h03ef668_0.tar.bz2  4 years and 10 months ago 3236 main

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