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
ATAforecasting, forecast, stats, stlplus, stR, tsibbledata, ucra, tseries, seasonal, Rcpp, RcppArmadillo, urca, uroot, xts, timeSeries, TSA, Mcomp, fable.ata, fabletools, fable
TimeSeries, Econometrics, Finance, MissingData, Environmetrics, NumericalMathematics, HighPerformanceComputing, OfficialStatistics, SpatioTemporal
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For attribution, please cite this work as
Taylan, et al., "The R Journal: Automatic Time Series Forecasting with Ata Method in R: ATAforecasting Package", The R Journal, 2021
BibTeX citation
@article{RJ-2021-101,
author = {Taylan, Ali Sabri and Yapar, Güçkan and Selamlar, Hanife Taylan},
title = {The R Journal: Automatic Time Series Forecasting with Ata Method in R: ATAforecasting Package},
journal = {The R Journal},
year = {2021},
note = {https://doi.org/10.32614/RJ-2021-101},
doi = {10.32614/RJ-2021-101},
volume = {13},
issue = {2},
issn = {2073-4859},
pages = {507-541}
}