R Observatory: Metrics for setartree version 0.2.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

setartree

0.2.1

SETAR-Tree - A Novel and Accurate Tree Algorithm for Global Time Series Forecasting

0packages depend

3.1Kdownloads / year

–test coverage

11/13checks pass

Overview

About

Maintained by Rakshitha GodahewaFirst published 2023-02-223 releasesCRAN page ↗GitHub ↗

The implementation of a forecasting-specific tree-based model that is in particular suitable for global time series forecasting, as proposed in Godahewa et al. (2022) arXiv:2211.08661v1. The model uses the concept of Self Exciting Threshold Autoregressive (SETAR) models to define the node splits and thus, the model is named SETAR-Tree. The SETAR-Tree uses some time-series-specific splitting and stopping procedures. It trains global pooled regression models in the leaves allowing the models to learn cross-series information. The depth of the tree is controlled by conducting a statistical linearity test as well as measuring the error reduction percentage at each node split. Thus, the SETAR-Tree requires minimal external hyperparameter tuning and provides competitive results under its default configuration. A forest is developed by extending the SETAR-Tree. The SETAR-Forest combines the forecasts provided by a collection of diverse SETAR-Trees during the forecasting process.

Install

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

install.packages("setartree", 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("rakshitha123/setartree")

Development version from rakshitha123/setartree. 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-setartree

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

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-setartree

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# 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-setartree

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

Health

CRAN checks

2NOTE11OK

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc

Slowest check: 1.1 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

5

Dependencies · direct

Check history

NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 43%
Documented parameters: 100%
Return-value docs: 67%
References docs: 44%

Downloads

3.1K

CRAN downloads in the past year

Rank #13,419 · ~9/day · ~260/mo

Releases R versions

Daily download trend is not available in this view yet.

18230 days

75690 days

3.1K1 year

Compare downloads with other packages →

Also on122 r2u32 autocran29 c2d4u

Repository

GitHub ↗ rakshitha123/setartree

2Stars

0Forks

0Open issues

0Open PRs

0Releases

30Commits

2Contributors

30 commits · Last activity 2023-08-24

Stars over time

2023-09-19 · 22026-07-07 · 2

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/rakshitha123/setartree on 2026-08-16.

Reproducibility and dev environment (1)

Makefile

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

Dependencies

Declared dependencies

2 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (5)

statsutilsmethodsparallelgenerics

LinkingTo (0)

none

Suggests (1)

forecast

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (4)

Maintainer (1)

Rakshitha Godahewa

Maintainer, Author, Copyright holder

Authors (3)

Rakshitha Godahewa

Maintainer, Author, Copyright holder

Christoph Bergmeir

Author

Daniel Schmidt

Author

Contributors (1)

Geoffrey Webb

Contributor

Copyright holders (1)

Rakshitha Godahewa

Maintainer, Author, Copyright holder

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
0.2.1Latest
2023-08-24 · current release · diff ↗
0.2.0
2023-08-21 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.1.0
2023-02-22
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2023-02-22
Total releases: 3 / 3 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5.0
Bundled data: 83 KB / 3 files
Download size: 109 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Time Series Analysis

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("setartree")

Format

Godahewa, R., Bergmeir, C., Schmidt, D., & Webb, G. (2023). setartree: SETAR-Tree - A Novel and Accurate Tree Algorithm for Global Time Series Forecasting (Version 0.2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.setartree

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 setartree version 0.2.1 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →