R Observatory: Metrics for BayesMallowsSMC2 version 0.3.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

BayesMallowsSMC2

0.3.0Package record

Nested Sequential Monte Carlo for the Bayesian Mallows Model

0packages depend

2.3Kdownloads / year

87.6%test coverage

13/13flavors OK

Overview

About

Maintained by Oystein SorensenCRAN page ↗

Provides nested sequential Monte Carlo algorithms for performing sequential inference in the Bayesian Mallows model, which is a widely used probability model for rank and preference data. The package implements the SMC2 (Sequential Monte Carlo Squared) algorithm for handling sequentially arriving rankings and pairwise preferences, including support for complete rankings, partial rankings, and pairwise comparisons. The methods are based on Sorensen (2025) doi:10.1214/25-BA1564.

Changes in 0.3.0

Major changes

Introduced use_backward_simulation argument in set_smc_options() to toggle Particle Gibbs with Backward Simulation (PG-BSi) during the rejuvenation step for mixture models. This vastly improves the effective sample size per second for clustering models.

From NEWS.md in the release

Install

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

install.packages("BayesMallowsSMC2", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

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-bayesmallowssmc2

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-BayesMallowsSMC2

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-BayesMallowsSMC2

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: 5.8 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK12 OK2026-04-25
NOTE12 OK, 2 NOTE2026-04-22
ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18

Show 1 earlier changeHide 1 earlier change

NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.3.0

READMEYes · 129 wordsVignettesNoNEWSYes · 100% structured · mentions 0.3.0Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 13
Examples that run: 75%6 run in a plain check · 2 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: 15% with a bibliography file

How these are measured

Downloads

2.3K

CRAN downloads in the past year

Rank #16,222 · ~6/day · ~193/mo

Releases R versions

Daily download trend is not available in this view yet.

28430 days

76990 days

2.3K1 year

Compare downloads with other packages →

Also on278 r2u40 autocran

How downloads are counted

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Installing BayesMallowsSMC2 adds 21 packages (10 with compiled code, 18 MB of source tarballs). Heaviest: ggplot2 6.0 MB, Rcpp 1.8 MB, isoband 1.5 MB.

Depends (1)

R >= 4.1.0

Imports (3)

Rcpp ggplot2 Rdpack

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (2)

testthat label.switching

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (1)

Oystein Sorensen

Author, Maintainer since 0.2.0 (2026)

Releases (3)

Pick two releases to compare their code metrics.

0.3.0Latest
record
2026-05-08 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
0.2.1
record
2026-02-04 · diff ↗
0.2.0
record
2026-02-03
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-02-03
Total releases: 3 / 1 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.1.0
Bundled data: 3.4 KB / 4 files
Download size: 289 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("BayesMallowsSMC2")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1214/25-ba1564.

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 BayesMallowsSMC2 version 0.3.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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