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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 687.8 kB | win-64/r-fable-0.1.1-r35h796a38f_0.tar.bz2  6 years and 4 months ago 1215 main cf202003
conda 695.2 kB | win-64/r-fable-0.1.1-r36h796a38f_0.tar.bz2  6 years and 4 months ago 1205 main cf202003
conda 670.4 kB | osx-64/r-fable-0.1.1-r35hc5da6b9_0.tar.bz2  6 years and 4 months ago 351 main cf202003
conda 673.3 kB | osx-64/r-fable-0.1.1-r36hc5da6b9_0.tar.bz2  6 years and 4 months ago 370 main cf202003
conda 680.9 kB | linux-64/r-fable-0.1.1-r35h0357c0b_0.tar.bz2  6 years and 4 months ago 4303 main cf202003
conda 685.0 kB | linux-64/r-fable-0.1.1-r36h0357c0b_0.tar.bz2  6 years and 4 months ago 4228 main cf202003

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