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multpois

0.3.3

Analyze Nominal Response Data with the Multinomial-Poisson Trick

0packages depend
2.5Kdownloads / year
92.9%test coverage
13/13checks pass

Overview

About
Maintained by Jacob O. WobbrockFirst published 2024-10-164 releasesCRAN page ↗GitHub ↗

Dichotomous responses having two categories can be analyzed with stats::glm() or lme4::glmer() using the family=binomial option. Unfortunately, polytomous responses with three or more unordered categories cannot be analyzed similarly because there is no analogous family=multinomial option. For between-subjects data, nnet::multinom() can address this need, but it cannot handle random factors and therefore cannot handle repeated measures. To address this gap, we transform nominal response data into counts for each categorical alternative. These counts are then analyzed using (mixed) Poisson regression as per Baker (1994) doi:10.2307/2348134. Omnibus analyses of variance can be run along with post hoc pairwise comparisons. For users wishing to analyze nominal responses from surveys or experiments, the functions in this package essentially act as though stats::glm() or lme4::glmer() provide a family=multinomial option.

Install

Health

CRAN checks
13OK
Slowest check: 4.3 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.71
92.9%
Coverage · measured lines
100%
Documentation · exports
5
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
  • OK2026-07-23
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-07-07
    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
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 191 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
80%
Documented parameters
100%
Return-value docs
100%
References docs
50%

Downloads

2.5K
CRAN downloads in the past year
Rank #18,897 · ~7/day · ~211/mo
Daily download trend is not available in this view yet.
13830 days
58190 days
2.5K1 year
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Also on106 r2u1 autocran

Repository

Repository
3Stars
0Forks
0Open issues
0Open PRs
0Releases
98Commits
1Contributors
License GPL-3.0 · 98 commits · Last activity 2025-02-09 · 0% stars, 30d

Stars over time

2025-01-03 · 12026-07-07 · 3

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/wobbrock/multpois on 2026-08-09.

Reproducibility and dev environment (1)
data-raw/
CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (1)
Author, Maintainer, Copyright holder
Copyright holders (1)
Author, Maintainer, Copyright holder
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.3.3Latest
    2025-02-09 · current release · diff ↗
  • 0.3.2
    2025-01-29 · diff ↗
  • 0.2.0
    2024-10-22 · diff ↗
  • 0.1.0
    2024-10-16
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-10-16
Total releases
4 / 2 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5
Bundled data
2.2 KB / 5 files
Download size
70 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("multpois")
Wobbrock, J. O. (2025). multpois: Analyze Nominal Response Data with the Multinomial-Poisson Trick (Version 0.3.3) [Computer software]. https://doi.org/10.32614/CRAN.package.multpois

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for multpois version 0.3.3 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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