fable: Forecasting Models for Tidy Time Series

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: 0.1.2
Depends: R (≥ 3.4.0), fabletools (≥ 0.1.2)
Imports: Rcpp (≥ 0.11.0), rlang (≥ 0.2.0), stats, dplyr (≥ 0.8.0), tsibble (≥ 0.8.0), tidyr
LinkingTo: Rcpp (≥ 0.11.0)
Suggests: covr, feasts, forecast, knitr, nnet, rmarkdown, spelling, testthat, tsibbledata
Published: 2020-01-29
Author: Mitchell O'Hara-Wild [aut, cre], Rob Hyndman [aut], Earo Wang [aut], Gabriel Caceres [ctb] (NNETAR implementation)
Maintainer: Mitchell O'Hara-Wild <mail at mitchelloharawild.com>
BugReports: https://github.com/tidyverts/fable/issues
License: GPL-3
URL: https://fable.tidyverts.org
NeedsCompilation: yes
Language: en-GB
Materials: README NEWS
In views: TimeSeries
CRAN checks: fable results


Reference manual: fable.pdf
Vignettes: fable
Package source: fable_0.1.2.tar.gz
Windows binaries: r-devel: fable_0.1.2.zip, r-devel-gcc8: fable_0.1.1.zip, r-release: fable_0.1.2.zip, r-oldrel: fable_0.1.2.zip
OS X binaries: r-release: fable_0.1.2.tgz, r-oldrel: fable_0.1.2.tgz
Old sources: fable archive

Reverse dependencies:

Reverse imports: fpp3
Reverse suggests: fabletools, feasts


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