R Observatory: Metrics for fable.bayesRecon version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

fable.bayesRecon

0.1.0

Bayesian Reconciliation in the 'fable' Framework

0packages depend

1.1Kdownloads / year

95.3%test coverage

13/13checks pass

Overview

About

Maintained by Dario AzzimontiFirst published 2026-05-281 releasesCRAN page ↗GitHub ↗

Implements the 'bayesRecon' probabilistic reconciliation methods within the 'fable' framework for hierarchical time series forecasting. Bayesian reconciliation (bayesRecon) methods are accessed via the 'reconcile' verb, following 'fable' conventions. For methodological background, see Corani et al. (2021) doi:10.1007/978-3-030-67664-3_13, Zambon et al. (2024a) doi:10.1007/s11222-023-10343-y, Zambon et al. (2024b) https://proceedings.mlr.press/v244/zambon24a.html, and Carrara et al. (2025) doi:10.48550/arXiv.2506.19554.

Install

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

install.packages("fable.bayesRecon", 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("dazzimonti/fable.bayesRecon")

Development version from dazzimonti/fable.bayesRecon. 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-fable.bayesrecon

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-fable.bayesRecon

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-fable.bayesRecon

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

Health

CRAN checks

13OK

Slowest check: 6.9 min · r-release-macos-x86_64

Code health

Yes

Tests · ratio 0.66

95.3%

Coverage · measured lines

100%

Documentation · exports

9

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
OK2026-05-29
7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 484 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

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

Downloads

1.1K

CRAN downloads in the past year

Rank #8,647 · ~3/day · ~89/mo

Releases R versions

Daily download trend is not available in this view yet.

24330 days

1.1K90 days

1.1K1 year

Compare downloads with other packages →

Also on36 r2u

Repository

GitHub ↗ dazzimonti/fable.bayesrecon

0Stars

0Forks

2Open issues

0Open PRs

1Releases

54Commits

4Contributors

License LGPL-3.0 · 54 commits · Last activity 2026-08-03

Releases over time

2026-07-07 · 02026-07-23 · 1

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/dazzimonti/fable.bayesrecon on 2026-08-16.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

17 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1

Imports (9)

statsbayesRecon fabletools purrr vctrs distributional dplyr tsibble rlang

LinkingTo (0)

none

Suggests (9)

testthat cli fable tsibbledata tibble ggplot2 scales knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (5)

Maintainer (1)

Dario Azzimonti

Author, Maintainer, Copyright holder

Authors (5)

Dario Azzimonti

Author, Maintainer, Copyright holder

Author

Author

Author

Author

Copyright holders (1)

Dario Azzimonti

Author, Maintainer, Copyright holder

Package Timeline

1 release. R releases are shown for context.

0.1.0Latest
2026-05-28 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-05-28
Total releases: 1 / 1 yrs
License: LGPL (>= 3) OSI
Minimum R: ≥ 4.1
Download size: 1.9 MB
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("fable.bayesRecon")

Format

Azzimonti, D., Carrara, C., Corani, G., Damato, S., & Zambon, L. (2026). fable.bayesRecon: Bayesian Reconciliation in the 'fable' Framework (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.fable.bayesRecon

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 fable.bayesRecon version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-17, 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 →