Package: fable 0.3.4.9000

Mitchell OHara-Wild

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.

Authors:Mitchell O'Hara-Wild [aut, cre], Rob Hyndman [aut], Earo Wang [aut], Gabriel Caceres [ctb], Christoph Bergmeir [ctb], Tim-Gunnar Hensel [ctb], Timothy Hyndman [ctb]

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NEWS

Peer review:

Bug tracker:https://github.com/tidyverts/fable/issues

On CRAN:

forecasting

18 exports 559 stars 7.80 score 50 dependencies 6 dependents 1 mentions 1.4k scripts 16.5k downloads

Last updated 15 hours agofrom:893e577f54. Checks:OK: 1 WARNING: 8. Indexed: yes.

Exports:%>%ARARIMAas_tsibblebreusch_godfreyCROSTONETSMEANNAIVENNETARRWSNAIVETHETATSLMunitroot_optionsVARVARIMAVECM

Dependencies:anytimeBHclicolorspacecpp11digestdistributionaldplyrellipsisfabletoolsfansifarvergenericsggdistggplot2gluegtableisobandlabelinglatticelifecyclelubridatemagrittrMASSMatrixmgcvmunsellnlmenumDerivpillarpkgconfigprogressrpurrrquadprogR6RColorBrewerRcpprlangscalesstringistringrtibbletidyrtidyselecttimechangetsibbleutf8vctrsviridisLitewithr