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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 818.2 kB | win-64/r-fable-0.3.0-r36ha856d6a_0.tar.bz2  4 years and 7 months ago 935 main
conda 824.1 kB | win-64/r-fable-0.3.0-r40ha856d6a_0.tar.bz2  4 years and 7 months ago 923 main
conda 805.0 kB | osx-64/r-fable-0.3.0-r36h4efb63e_0.tar.bz2  4 years and 7 months ago 275 main
conda 799.6 kB | osx-64/r-fable-0.3.0-r40h4efb63e_0.tar.bz2  4 years and 7 months ago 262 main
conda 810.8 kB | linux-64/r-fable-0.3.0-r36h03ef668_0.tar.bz2  4 years and 7 months ago 3017 main
conda 804.5 kB | linux-64/r-fable-0.3.0-r40h03ef668_0.tar.bz2  4 years and 7 months ago 3022 main

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