Title: Forecasting Models for Tidy Time Series
Description: 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.
Suggests: covr, feasts, forecast, knitr, nnet, rmarkdown, spelling,
Author: Mitchell O'Hara-Wild [aut, cre],
Gabriel Caceres [ctb] (NNETAR implementation)

tsibble (>= 0.8.0), tibble, tidyr, utils

tsibble (>= 0.9.0), tibble, tidyr, utils, distributional

Gabriel Caceres [ctb] (NNETAR implementation),

Title: 'ATAforecasting' Modelling Interface for 'fable' Framework
Description: Allows ATA (Automatic Time series analysis using the Ata method) models from the 'ATAforecasting' package to be used in a tidy workflow with the modeling interface of
'fabletools'. This extends 'ATAforecasting' to provide enhanced model specification and management, performance evaluation methods, and
model combination tools. The Ata method (Yapar et al. (2019) <doi:10.15672/hujms.461032>), an alternative to exponential smoothing (described in Yapar (2016)
<doi:10.15672/HJMS.201614320580>, Yapar et al. (2017) <doi:10.15672/HJMS.2017.493>), is a new univariate time series forecasting method which provides
innovative solutions to issues faced during the initialization and optimization stages of existing forecasting methods.
Forecasting performance of the Ata method is superior to existing methods both in terms of easy implementation and accurate forecasting.
It can be applied to non-seasonal or seasonal time series which can be decomposed into four components (remainder, level, trend and seasonal).
Imports: stats, rlang, tibble, dplyr, tsibble, distributional, tsbox
Depends: fabletools (>= 0.3.1), ATAforecasting (>= 0.0.55)

Imports: stats, rlang, tibble, dplyr, tsibble, distributional, tsbox,
Depends: fabletools (>= 0.3.1), ATAforecasting (>= 0.0.56)