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: |
0.3.1 |
| 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, nnet, rmarkdown, spelling, testthat, tsibbledata (≥ 0.2.0) |
| Published: |
2021-05-16 |
| Author: |
Mitchell O'Hara-Wild [aut, cre],
Rob Hyndman [aut],
Earo Wang [aut],
Gabriel Caceres [ctb] (NNETAR implementation),
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 results |