The R Journal: article published in 2021, volume 13:2

Automatic Time Series Forecasting with Ata Method in R: ATAforecasting Package
Ali Sabri Taylan, Güçkan Yapar and Hanife Taylan Selamlar , The R Journal (2021) 13:2, pages 507-541.

Abstract Ata method is a new univariate time series forecasting method that provides innovative solutions to issues faced during the initialization and optimization stages of existing methods. The Ata method’s forecasting performance is superior to existing methods in terms of easy implementation and accurate forecasting. It can be applied to non-seasonal or deseasonalized time series, where

Received: 2021-01-15; online 2021-12-15
CRAN packages: ATAforecasting, forecast, stats, stlplus, stR, tsibbledata, ucra, tseries, seasonal, Rcpp, RcppArmadillo, urca, uroot, xts, timeSeries, TSA, Mcomp, fable.ata, fabletools, fable
CRAN Task Views implied by cited CRAN packages: TimeSeries, Econometrics, Finance, MissingData, Environmetrics, NumericalMathematics, HighPerformanceComputing, OfficialStatistics, SpatioTemporal

This article is licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2021-101,
  author = {Ali Sabri Taylan and Güçkan Yapar and Hanife Taylan Selamlar},
  title = {{Automatic Time Series Forecasting with Ata Method in R:
          ATAforecasting Package}},
  year = {2021},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2021-101},
  url = {https://doi.org/10.32614/RJ-2021-101},
  pages = {507--541},
  volume = {13},
  number = {2}
}