R Observatory: Metrics for ATAforecasting version 0.0.61

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ATAforecasting

0.0.61

Automatic Time Series Analysis and Forecasting using the Ata Method

1packages depend

7.4Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Ali Sabri TaylanFirst published 2021-03-088 releasesCRAN page ↗GitHub ↗

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.

Install

R (CRAN)pak (dev)Ubuntu (r2u)openSUSE (OBS)

install.packages("ATAforecasting", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("alsabtay/ATAforecasting")

Development version from alsabtay/ATAforecasting. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-ataforecasting

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-ATAforecasting

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 5.2 min · r-devel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

13

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-04-22
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 2 earlier snapshots

ERROR2026-04-18
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 776 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 99%
Return-value docs: 100%
References docs: 38%

Downloads

7.4K

CRAN downloads in the past year

Rank #4,713 · ~20/day · ~621/mo

Releases R versions

Daily download trend is not available in this view yet.

43530 days

1.7K90 days

7.4K1 year

Compare downloads with other packages →

Also on464 r2u37 autocran

Repository

GitHub ↗ alsabtay/ataforecasting

6Stars

4Forks

0Open issues

0Open PRs

4Releases

147Commits

3Contributors

ataforecastingforecastrforecastingatatime-seriesfable

License GPL-3.0 · 147 commits · Last activity 2025-10-30 · 0% stars, 30d

Stars over time

2024-10-02 · 52026-07-07 · 6

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/alsabtay/ataforecasting on 2026-08-16.

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

13 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1

Imports (13)

graphicsforecast Rcpp Rdpack seasonalstatsstlplus stR timeSeries TSA tseriesutilsxts

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (1)

x13binary

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

fable.ata

Code & Tests

People & History

People (3)

Maintainer (1)

Ali Sabri Taylan

Author, Maintainer, Copyright holder

Authors (3)

Ali Sabri Taylan

Author, Maintainer, Copyright holder

Hanife Taylan Selamlar

Author, Copyright holder

Guckan Yapar

Author, Thesis advisor, Copyright holder

Copyright holders (3)

Ali Sabri Taylan

Author, Maintainer, Copyright holder

Hanife Taylan Selamlar

Author, Copyright holder

Guckan Yapar

Author, Thesis advisor, Copyright holder

Package Timeline

8 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.0.61Latest
2025-11-10 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
0.0.60
2023-06-12 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.0.57
2022-04-22 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.0.56
2021-12-08 · diff ↗
0.0.55
2021-10-22 · diff ↗
0.0.54
2021-10-20 · diff ↗
0.0.53
2021-10-11 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.0.52
2021-03-08
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2021-03-08
Total releases: 8 / 5 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 4.1
Bundled data: 3.1 KB / 2 files
Download size: 130 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ATAforecasting")

Format

Taylan, A. S., Taylan Selamlar, H., & Yapar, G. (2025). ATAforecasting: Automatic Time Series Analysis and Forecasting using the Ata Method (Version 0.0.61) [Computer software]. https://doi.org/10.32614/CRAN.package.ATAforecasting

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ATAforecasting version 0.0.61 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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