R Observatory: Metrics for FoRecoML version 1.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

FoRecoML

1.1.1

Forecast Reconciliation with Machine Learning

0packages depend

1.7Kdownloads / year

52.9%test coverage

13/13checks pass

Overview

About

Maintained by Daniele GirolimettoFirst published 2026-04-213 releasesCRAN page ↗GitHub ↗

Nonlinear forecast reconciliation with machine learning in cross-sectional (Spiliotis et al. 2021 doi:10.1016/j.asoc.2021.107756), temporal, and cross-temporal (Rombouts et al. 2024 doi:10.1016/j.ijforecast.2024.05.008) frameworks.

Install

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

install.packages("FoRecoML", 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("danigiro/FoRecoML")

Development version from danigiro/FoRecoML. 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-forecoml

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-FoRecoML

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-FoRecoML

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

Health

CRAN checks

13OK

Slowest check: 3.2 min · r-release-windows-x86_64

Code health

Yes

Tests · ratio 0.11

52.9%

Coverage · measured lines

100%

Documentation · exports

12

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
OK2026-06-25
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-23
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-04-22
8 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 180 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 0%
Documented parameters: 100%
Return-value docs: 100%
References docs: 60%

Downloads

1.7K

CRAN downloads in the past year

Rank #7,416 · ~5/day · ~142/mo

Releases R versions

Daily download trend is not available in this view yet.

21630 days

1.2K90 days

1.7K1 year

Compare downloads with other packages →

Also on59 r2u

Repository

GitHub ↗ danigiro/forecoml

1Stars

1Forks

0Open issues

0Open PRs

3Releases

47Commits

2Contributors

cranforecastingmachine-learningrreconciliationtime-series

47 commits · Last activity 2026-07-13 · 0% stars, 30d

Stars over time

2026-04-24 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/danigiro/forecoml on 2026-08-16.

Continuous integration (1)

GitHub Actions

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

11 external dependencies (excludes base and recommended)

Depends (3)

R >= 3.4MatrixFoReco

Imports (10)

statsclimethodsrandomForest lightgbm xgboost mlr3 mlr3tuning mlr3learners paradox

LinkingTo (0)

none

Suggests (2)

testthat ranger

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)

Maintainer (1)

Daniele Girolimetto

Author, Maintainer

Authors (4)

Author, Maintainer

Author

Author

Author

Package Timeline

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

1.1.1Latest
2026-07-09 · current release · diff ↗
1.1.0
2026-06-23 · diff ↗
R
R 4.6.0 released · 2026-04-24
1.0.0
2026-04-21
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-04-21
Total releases: 3 / 1 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.4
Download size: 33 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("FoRecoML")

Format

Girolimetto, D., Rombouts, J., Wilms, I., & Yang, Y. F. (2026). FoRecoML: Forecast Reconciliation with Machine Learning (Version 1.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.FoRecoML

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 FoRecoML version 1.1.1 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, 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 →