multpois: Analyze Nominal Response Data with the Multinomial-Poisson Trick
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() had a family=multinomial option.
| Version: |
0.2.0 |
| Depends: |
R (≥ 2.10) |
| Imports: |
car (≥ 3.1.2), dfidx (≥ 0.0.5), dplyr (≥ 1.1.4), lme4 (≥
1.1.35.5), plyr (≥ 1.8.9) |
| Suggests: |
emmeans (≥ 1.10.3), knitr (≥ 1.48), lmerTest (≥ 3.1.3), nnet (≥ 7.3.19), rmarkdown, spelling, testthat (≥ 3.2.1.1) |
| Published: |
2024-10-22 |
| DOI: |
10.32614/CRAN.package.multpois |
| Author: |
Jacob O. Wobbrock 
[aut, cre, cph] |
| Maintainer: |
Jacob O. Wobbrock <wobbrock at uw.edu> |
| BugReports: |
https://github.com/wobbrock/multpois/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/wobbrock/multpois/ |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Citation: |
multpois citation info |
| Materials: |
README NEWS |
| CRAN checks: |
multpois results |
Documentation:
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