Package: ATAforecasting
Type: Package
Title: Automatic Time Series Analysis and Forecasting using the Ata
        Method
Version: 0.0.61
Date: 2025-10-30
Authors@R: c(
  person("Ali Sabri", "Taylan", email="alisabritaylan@gmail.com", role=c("aut", "cre", "cph"), comment = c(ORCID = "0000-0001-9514-934X")),
  person("Hanife", "Taylan Selamlar", role=c("aut", "cph"), comment = c(ORCID = "0000-0002-4091-884X")),
  person("Guckan", "Yapar", role=c("aut", "ths", "cph"), comment=c(ORCID = "0000-0002-0971-6676"))
  )
Description: 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).
        This methodology performed well on the M3 and M4-competition
        data. This package was written based on Ali Sabri Taylan’s PhD
        dissertation.
Maintainer: Ali Sabri Taylan <alisabritaylan@gmail.com>
License: GPL (>= 3)
URL: https://alsabtay.github.io/ATAforecasting/,
        https://github.com/alsabtay/ATAforecasting,
        https://atamethod.wordpress.com/
BugReports: https://github.com/alsabtay/ATAforecasting/issues
Depends: R (>= 4.1)
Imports: graphics, forecast, Rcpp, Rdpack, stats, stlplus, stR,
        timeSeries, TSA, tseries, utils, xts
Suggests: seasonal, x13binary
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 7.3.3
RdMacros: Rdpack
NeedsCompilation: yes
Author: Ali Sabri Taylan [aut, cre, cph]
        (<https://orcid.org/0000-0001-9514-934X>), Hanife Taylan
        Selamlar [aut, cph] (<https://orcid.org/0000-0002-4091-884X>),
        Guckan Yapar [aut, ths, cph]
        (<https://orcid.org/0000-0002-0971-6676>)
Config/pak/sysreqs: libssl-dev
Repository: https://alsabtay.r-universe.dev
Date/Publication: 2025-10-30 14:11:46 UTC
RemoteUrl: https://github.com/alsabtay/ataforecasting
RemoteRef: HEAD
RemoteSha: 346465b4b001bae9853d7086e4b638af6797fe77
Packaged: 2026-09-20 11:29:11 UTC; root