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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 784.0 kB | win-64/r-fable-0.2.1-r40h796a38f_0.tar.bz2  5 years and 3 months ago 1043 main
conda 790.7 kB | win-64/r-fable-0.2.1-r36h796a38f_0.tar.bz2  5 years and 3 months ago 1040 main
conda 772.8 kB | osx-64/r-fable-0.2.1-r36hc5da6b9_0.tar.bz2  5 years and 3 months ago 334 main
conda 773.4 kB | osx-64/r-fable-0.2.1-r40hc5da6b9_0.tar.bz2  5 years and 3 months ago 326 main
conda 783.1 kB | linux-64/r-fable-0.2.1-r36h0357c0b_0.tar.bz2  5 years and 3 months ago 3507 main
conda 777.9 kB | linux-64/r-fable-0.2.1-r40h0357c0b_0.tar.bz2  5 years and 3 months ago 3476 main

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