Skip to content

FoRecoML

1.1.1Package record

Forecast Reconciliation with Machine Learning

0packages depend
2.3Kdownloads / year
52.9%test coverage
13/13flavors OK

Overview

About

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.

Changes in 1.1.1
  • Reworked the print() and summary() methods for rml_fit objects, which now return a more informative, structured overview of the fitted reconciliation (framework, machine-learning approach, problem dimensions, features, training sample size, combination matrix and trained models).
  • csrml(), terml() and ctrml() now validate their arguments more strictly and fail with informative error messages that state the expected value and report the one actually supplied.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.4 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-25
  • ERROR12 OK, 1 ERROR2026-06-23
  • OK8 OK2026-04-22
Advisories

none known

Documentation

In release 1.1.1
READMEYes · 180 wordsVignettesNoNEWSYes · 100% structured · mentions 1.1.1Citation fileNoWebsiteYes · pkgdown
Help pages
5includes a package overview page
Examples that run
0%4 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
60%

Downloads

2.3K
CRAN downloads in the past year
Rank #15,232 · ~6/day · ~190/mo
Daily download trend is not available in this view yet.
27830 days
78690 days
2.3K1 year
Compare downloads with other packages →
Also on67 r2u5 autocran

Repository

1Stars
1Forks
0Open issues
0Open PRs
3Releases
47Commits
2Commit identities
cranforecastingmachine-learningrreconciliationtime-series
47 commits · Last activity 2026-07-13 · 0% stars, 30d · Default branch at 1.1.1.9000, ahead of CRAN 1.1.1 (checked 2026-10-11)
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
10
Median days to close, 50 most recently updated closed PRs
not measured

Stars over time

2026-04-24 · 12026-07-07 · 1
PracticesBeta

7 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/danigiro/forecoml on 2026-10-11.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (1)
Code of conduct
Docs source (3)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-07-13

pkgdown site last built 2026-07-08, before release 1.1.1 (2026-07-09)

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing FoRecoML adds 47 packages (26 with compiled code, 30 MB of source tarballs). Heaviest: data.table 5.7 MB, palmerpenguins 2.9 MB, moocore 1.9 MB.

Depends (3)
R >= 3.4MatrixFoReco
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (4)
Author, Maintainer since 1.0.0 (2026)
Author
Releases (3)

Pick two releases to compare their code metrics.

  • 1.1.1Latest
    record
    2026-07-09 · current release · diff ↗
  • 1.1.0
    record
    2026-06-23 · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.0
    record
    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
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("FoRecoML")
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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for FoRecoML version 1.1.1 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, 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 →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy