The R Journal: accepted article

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Automatic Time Series Forecasting with Ata Method in R: ATAforecasting Package PDF download
Ali Sabri TAYLAN, Güçkan YAPAR and Hanife TAYLAN SELAMLAR

Abstract Ata method is a new univariate time series forecasting method which provides innovative solutions to issues faced during the initialization and optimization stages of existing methods. Ata method’s forecasting performance is superior to existing methods both in terms of easy implementa tion 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


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@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://journal.r-project.org/archive/2021/RJ-2021-101/index.html}
}