R Observatory: Metrics for BayesMallows version 2.2.7

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

BayesMallows

2.2.7Package record

Bayesian Preference Learning with the Mallows Rank Model

0packages dependsuggested by 1

10.8Kdownloads / year

97.9%test coverage

13/13flavors OK

Overview

About

Maintained by Oystein SorensenCRAN page ↗GitHub ↗Website ↗Issues ↗

An implementation of the Bayesian version of the Mallows rank model (Vitelli et al., Journal of Machine Learning Research, 2018 https://jmlr.org/papers/v18/15-481.html; Crispino et al., Annals of Applied Statistics, 2019 doi:10.1214/18-AOAS1203; Sorensen et al., R Journal, 2020 doi:10.32614/RJ-2020-026; Stein, PhD Thesis, 2023 https://eprints.lancs.ac.uk/id/eprint/195759). Both Metropolis-Hastings and sequential Monte Carlo algorithms for estimating the models are available. Cayley, footrule, Hamming, Kendall, Spearman, and Ulam distances are supported in the models. The rank data to be analyzed can be in the form of complete rankings, top-k rankings, partially missing rankings, as well as consistent and inconsistent pairwise preferences. Several functions for plotting and studying the posterior distributions of parameters are provided. The package also provides functions for estimating the partition function (normalizing constant) of the Mallows rank model, both with the importance sampling algorithm of Vitelli et al. and asymptotic approximation with the IPFP algorithm (Mukherjee, Annals of Statistics, 2016 doi:10.1214/15-AOS1389).

Changes in 2.2.7

A bug in the computation of acceptance ratios has been fixed. Issue #436 on GitHub. Thanks to Jonas Nordstrøm for discovering.
Documentation of return value added to get_acceptance_ratios().

From NEWS.md in the release

Install

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

install.packages("BayesMallows", 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("ocbe-uio/BayesMallows")

Development version from ocbe-uio/BayesMallows. 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-bayesmallows

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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-BayesMallows

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-BayesMallows

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 11.3 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK12 OK2026-04-25
NOTE11 OK, 3 NOTE2026-04-22
ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18

Show 1 earlier changeHide 1 earlier change

NOTE11 OK, 3 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.2.7

README· In the repository, left out of the releaseVignettesYes · 3 · staticNEWSYes · 100% structured · mentions 2.2.7Citation fileYes · cites a publicationWebsiteYes · pkgdown

Cites an R Journal article

Help pages: 47 (3 internal)includes a package overview page
Examples that run: 82%23 run in a plain check · 5 never run
Exported functions with examples: 79%
Documented parameters: 99%
Return-value docs: 85%
Help pages citing references: 51% with a bibliography file

Vignettes (3)

How these are measured

Downloads

10.8K

CRAN downloads in the past year

Rank #4,045 · ~30/day · ~898/mo

Releases R versions

Daily download trend is not available in this view yet.

87030 days

2.2K90 days

10.8K1 year

Compare downloads with other packages →

Also on559 r2u40 autocran118 c2d4u

How downloads are counted

Repository

ocbe-uio/bayesmallows ↗Organization: ocbe-uio

21Stars

10Forks

0Open issues

0Open PRs

37Releases

909Commits

15Commit identities

mallows-modelr-package

License file reads as GPL-3.0 · 909 commits · Last activity 2026-02-06 · 0% stars, 30d · Default branch at 2.2.7.9000, ahead of CRAN 2.2.7 (checked 2026-10-18) · Discussions: 1 post

Responsiveness

How these are sampled

PRs merged (all time): 93%
Median days to close, 50 most recently updated closed issues: 8
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-08-20 · 212026-09-21 · 21

How these are measured

PracticesBeta

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

Checks run against github.com/ocbe-uio/bayesmallows on 2026-10-18.

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)

Contributing guide (inherited from ocbe-uio)

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-01-20 · The repository has a site deploy workflow

Coverage (1)

Coverage reporting (Codecov)

Show all practicesHide 3 practices

Reproducibility and dev environment (1)

data-raw/

CRAN release process (1)

cran-comments.md

Lint, format, editor (2)

Lint workflowRStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

AI coding toolsBeta

This repository shows signs of AI coding tools.

GitHub Copilotfirst seen 2026-01-20
Pull request: opened by its own account
Commits: 4 by its own account · at least 4 crediting it in the message

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

14 external dependencies (excludes base and recommended)

Installing BayesMallows adds 42 packages (20 with compiled code, 23 MB of source tarballs). Heaviest: ggplot2 6.0 MB, Rcpp 1.8 MB, isoband 1.5 MB.

Depends (1)

R >= 3.5.0

Imports (6)

Rcpp ggplot2 Rdpack sets (>= 1.0-18)relations rlang

LinkingTo (3)

Rcpp RcppArmadillo testthat

Suggests (6)

knitr testthat label.switching rmarkdown covrparallel

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Suggested by 1

Suggests, most downloaded first

PlackettLuce

How these are counted

Code & Tests

Datasets

People & History

People (8)

Oystein Sorensen

Author, Maintainer since 0.1.0 (2018)

Marta Crispino

Author

Waldir Leoncio

Author · added in 1.0.4

Qinghua Liu

Author · added in 0.1.1

Cristina Mollica

Author · added in 1.0.0

Anja Stein

Author · added in 1.0.4

Luca Tardella

Author · added in 1.0.0

Valeria Vitelli

Author

Listed in earlier versions (1)

Qingua Liu

no longer listed · 0.1.0

Releases (39)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
2.2.7Latest
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2026-01-20 · current release · diff ↗
2.2.6
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2025-11-25 · diff ↗
2.2.5
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2025-06-27 · diff ↗
2.2.4
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2025-06-13 · diff ↗
R
R 4.5.0 released · 2025-04-11
2.2.3
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2025-01-14 · diff ↗
2.2.2
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2024-08-17 · diff ↗
R
R 4.4.0 released · 2024-04-24
2.2.1
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2024-04-22 · diff ↗
2.2.0
record
2024-04-19 · diff ↗ ·
added 2 exports
compute_exact_partition_function, set_progress_report
2.1.1
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2024-03-15 · diff ↗
2.1.0
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2024-03-13 · diff ↗ ·
added 5 exports
burnin<-, burnin, compute_mallows_sequentially, get_acceptance_ratios, sample_prior
2.0.1
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2024-01-25 · diff ↗
2.0.0
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2024-01-15 · diff ↗ ·
removed 14 exports
calculate_backward_probability, calculate_forward_probability, compute_posterior_intervals_alpha, compute_posterior_intervals_rho, compute_rho_consensus, expected_dist, generate_constraints, generate_initial_ranking, generate_transitive_closure, prepare_partition_function, rank_distance, rank_freq_distr, smc_mallows_new_item_rank, smc_mallows_new_users

added 12 exports
compute_expected_distance, compute_observation_frequency, compute_rank_distance, get_cardinalities, get_transitive_closure, set_compute_options, set_initial_values, set_model_options, set_priors, set_smc_options, setup_rank_data, update_mallows
1.5.0
record
2023-11-25 · diff ↗ ·
removed 7 exports
get_exponent_sum, get_sample_probabilities, leap_and_shift_probs, lik_db_mix, metropolis_hastings_alpha, metropolis_hastings_aug_ranking, metropolis_hastings_rho

Show 32 earlier eventsHide 32 earlier events

1.4.0
record
2023-10-04 · diff ↗ ·
removed 7 exports
metropolis_hastings_aug_ranking_pseudo, plot_alpha_posterior, plot_rho_posterior, smc_mallows_new_item_rank_alpha_fixed, smc_mallows_new_users_complete, smc_mallows_new_users_partial, smc_mallows_new_users_partial_alpha_fixed

added 1 export
prepare_partition_function
1.3.2
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2023-08-24 · diff ↗
1.3.1
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2023-08-22 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.3.0
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2023-03-10 · diff ↗ ·
added 1 export
heat_plot
1.2.2
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2023-02-03 · diff ↗
1.2.1
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2022-11-04 · diff ↗
1.2.0
record
2022-05-25 · diff ↗ ·
added 2 exports
get_exponent_sum, smc_mallows_new_users
R
R 4.2.0 released · 2022-04-22
1.1.2
record
2022-04-11 · diff ↗
1.1.1
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2022-04-02 · diff ↗
1.1.0
record
2021-12-03 · diff ↗ ·
added 19 exports
calculate_backward_probability, calculate_forward_probability, compute_posterior_intervals_alpha, compute_posterior_intervals_rho, compute_rho_consensus, get_mallows_loglik, get_sample_probabilities, leap_and_shift_probs, metropolis_hastings_alpha, metropolis_hastings_aug_ranking, metropolis_hastings_aug_ranking_pseudo, metropolis_hastings_rho, plot_alpha_posterior, plot_rho_posterior, smc_mallows_new_item_rank, smc_mallows_new_item_rank_alpha_fixed, smc_mallows_new_users_complete, smc_mallows_new_users_partial, smc_mallows_new_users_partial_alpha_fixed
1.0.4
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2021-11-17 · diff ↗
1.0.3
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2021-10-14 · diff ↗
1.0.2
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2021-06-04 · diff ↗
R
R 4.1.0 released · 2021-05-18
1.0.1
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2021-02-23 · diff ↗
1.0.0
record
2021-01-08 · diff ↗ ·
added 4 exports
expected_dist, lik_db_mix, rank_distance, rank_freq_distr
0.5.0
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2020-08-28 · diff ↗
0.4.4
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2020-08-07 · diff ↗
0.4.3
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2020-06-20 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.4.2
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2020-03-23 · diff ↗
0.4.1
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2019-09-05 · diff ↗
R
R 3.6.0 released · 2019-04-26
0.4.0
record
2019-02-22 · diff ↗
0.3.1
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2019-02-01 · diff ↗
0.3.0
record
2019-01-30 · diff ↗ ·
removed 3 exports
compute_cp_consensus, compute_map_consensus, tidy_mcmc
0.2.0
record
2018-11-30 · diff ↗ ·
added 2 exports
compute_consensus, predict_top_k
0.1.1
record
2018-10-15 · diff ↗
0.1.0
record
2018-10-08
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2018-10-08
Total releases: 39 / 8 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5.0
Bundled data: 29 KB / 8 files
Download size: 4.2 MB

Appears in task views

Bayesian Inference Missing Data

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BayesMallows")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 BayesMallows version 2.2.7 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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