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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 714.7 kB | win-64/r-fable-0.1.2-r36h796a38f_0.tar.bz2  5 years and 6 months ago 1076 main cf202003
conda 711.0 kB | win-64/r-fable-0.1.2-r35h796a38f_0.tar.bz2  5 years and 6 months ago 1077 main cf202003
conda 698.6 kB | osx-64/r-fable-0.1.2-r36hc5da6b9_0.tar.bz2  5 years and 6 months ago 334 main cf202003
conda 694.8 kB | osx-64/r-fable-0.1.2-r35hc5da6b9_0.tar.bz2  5 years and 6 months ago 333 main cf202003
conda 707.3 kB | linux-64/r-fable-0.1.2-r36h0357c0b_0.tar.bz2  5 years and 6 months ago 3653 main cf202003
conda 708.2 kB | linux-64/r-fable-0.1.2-r35h0357c0b_0.tar.bz2  5 years and 6 months ago 3596 main cf202003

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