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fable.ata
View on CRAN: Click
here
Download and install fable.ata package within the R console
Install from CRAN:
install.packages("fable.ata")
Install from Github:
library("remotes")
install_github("cran/fable.ata")
Install by package version:
library("remotes")
install_version("fable.ata", "0.0.6")
Attach the package and use:
library("fable.ata")
Maintained by
Ali Sabri Taylan
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-17
Latest Update: 2023-06-19
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) ), an alternative to exponential smoothing (described in Yapar (2016)
, Yapar et al. (2017) ), 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).
How to cite:
Ali Sabri Taylan (2021). fable.ata: 'ATAforecasting' Modelling Interface for 'fable' Framework. R package version 0.0.6, https://cran.r-project.org/web/packages/fable.ata. Accessed 17 Mar. 2025.
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Complete documentation for fable.ata
Functions, R codes and Examples using
the fable.ata R package
Some associated functions: AutoATA . components.ATA . fable.ata-package . fitted.ATA . forecast.ATA . format.ATA . glance.ATA . model_sum.ATA . report.ATA . residuals.ATA . tidy.ATA .
Some associated R codes: fable.ata-package.R . fable_ata.R . utils.R . Full fable.ata package functions and examples
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