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multpois  

Analyze Nominal Response Data with the Multinomial-Poisson Trick
View on CRAN: Click here


Download and install multpois package within the R console
Install from CRAN:
install.packages("multpois")

Install from Github:
library("remotes")
install_github("cran/multpois")

Install by package version:
library("remotes")
install_version("multpois", "0.3.3")



Attach the package and use:
library("multpois")
Maintained by
Jacob O. Wobbrock
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-10-16
Latest Update: 2025-02-09
Description:
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 implement the multinomial-Poisson trick (Baker 1994) <doi:10.2307/2348134>, which transforms nominal response data into counts for each categorical alternative. These counts are then analyzed using (mixed) Poisson regression. 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() had a family=multinomial option.
How to cite:
Jacob O. Wobbrock (2024). multpois: Analyze Nominal Response Data with the Multinomial-Poisson Trick. R package version 0.3.3, https://cran.r-project.org/web/packages/multpois. Accessed 07 Mar. 2026.
Previous versions and publish date:
0.1.0 (2024-10-16 18:50), 0.2.0 (2024-10-22 23:50), 0.3.2 (2025-01-29 20:30)
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