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.
Version: 0.4.1 Depends: R (≥ 3.4.0), fabletools (≥ 0.3.0) Imports: Rcpp (≥ 0.11.0), rlang (≥ 0.4.6), stats, dplyr (≥ 1.0.0), tsibble (≥ 0.9.0), tibble, tidyr, utils, distributional LinkingTo: Rcpp (≥ 0.11.0) Suggests: covr, feasts, forecast, knitr, MTS, nnet, rmarkdown, spelling, testthat, tsibbledata (≥ 0.2.0) Published: 2024-11-05 DOI: 10.32614/CRAN.package.fable Author: Mitchell O'Hara-Wild [aut, cre], Rob Hyndman [aut], Earo Wang [aut], Gabriel Caceres [ctb] (NNETAR implementation), Christoph Bergmeir [ctb], Tim-Gunnar Hensel [ctb], Timothy Hyndman [ctb] Maintainer: Mitchell O'Hara-Wild <mail at mitchelloharawild.com> BugReports: https://github.com/tidyverts/fable/issues License: GPL-3 URL: https://fable.tidyverts.org, https://github.com/tidyverts/fable NeedsCompilation: yes Language: en-GB Materials: README NEWS In views: TimeSeries CRAN checks: fable resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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