R Observatory: Metrics for prefviz version 0.1.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

prefviz

0.1.3

Visualizes Preferential Data in One and More Contests

0packages depend

1.7Kdownloads / year

33.4%test coverage

13/13checks pass

Overview

About

Maintained by Linh NgoFirst published 2026-04-133 releasesCRAN page ↗GitHub ↗

A visualization toolkit for preferential data, such as ranked-choice election results, tournament outcomes, and survey responses. The package provides methods to visualise the preference distribution of one contest with bar charts and pairwise comparisons of two contestants, as well as methods to visualise multiple contests through 2D and high-dimensional simplex plots both statically and interactively. HD simplex displays are implemented via projection methods using the 'tourr' and 'detourr' packages, enabling dynamic exploration of high-dimensional preference structure. For more details on HD simplex projection, see Wickham et al. (2011) doi:10.21105/joss.03419.

Install

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

install.packages("prefviz", 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("numbats/prefviz")

Development version from numbats/prefviz. 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-prefviz

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-prefviz

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-prefviz

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

Health

CRAN checks

13OK

Slowest check: 2.2 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.21

33.4%

Coverage · measured lines

100%

Documentation · exports

10

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
OK2026-07-14
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-07-10
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 2 earlier snapshots

ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-04-14
5 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 413 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 97%
Return-value docs: 100%
References docs: 0%

Downloads

1.7K

CRAN downloads in the past year

Rank #10,296 · ~5/day · ~141/mo

Releases R versions

Daily download trend is not available in this view yet.

20330 days

93790 days

1.7K1 year

Compare downloads with other packages →

Also on45 r2u27 autocran

Repository

GitHub ↗ numbats/prefviz

1Stars

0Forks

5Open issues

0Open PRs

0Releases

107Commits

3Contributors

License GPL-3.0 · 107 commits · Last activity 2026-06-23 · 0% stars, 30d

Stars over time

2025-11-24 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

6 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/numbats/prefviz on 2026-08-23.

Continuous integration (1)

GitHub Actions

Reproducibility and dev environment (1)

data-raw/

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Docs source (1)

README.Rmd

Show all practices

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

16 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1.0

Imports (10)

dplyr lifecycle prefio tibble tidyr rlang ggplot2 scales tidyselect geozoo

LinkingTo (0)

none

Suggests (6)

knitr rmarkdown tourr kableExtra ggthemes testthat (>= 3.0.0)

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)

Maintainer (1)

Linh Ngo

Author, Maintainer

Authors (3)

Linh Ngo

Author, Maintainer

Dianne Cook

Author

Damjan Vukcevic

Author

Package Timeline

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

0.1.3Latest
2026-06-26 · current release · diff ↗
0.1.2
2026-05-01 · diff ↗
R
R 4.6.0 released · 2026-04-24
0.1.1
2026-04-13
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-04-13
Total releases: 3 / 1 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 4.1.0
Bundled data: 1.2 MB / 6 files
Download size: 2.5 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("prefviz")

Format

Ngo, L., Cook, D., & Vukcevic, D. (2026). prefviz: Visualizes Preferential Data in One and More Contests (Version 0.1.3) [Computer software]. https://doi.org/10.32614/CRAN.package.prefviz

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 prefviz version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-08-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-25, 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 →