Package: multpois Title: Analyze Nominal Response Data with the Multinomial-Poisson Trick Version: 0.3.3 Authors@R: person("Jacob O.", "Wobbrock", , "wobbrock@uw.edu", role = c("aut", "cre","cph"), comment = c(ORCID = "0000-0003-3675-5491")) Maintainer: Jacob O. Wobbrock 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 transform nominal response data into counts for each categorical alternative. These counts are then analyzed using (mixed) Poisson regression as per Baker (1994) . 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. License: GPL (>= 2) URL: https://github.com/wobbrock/multpois/ BugReports: https://github.com/wobbrock/multpois/issues Depends: R (>= 3.5) 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) VignetteBuilder: knitr Encoding: UTF-8 Language: en-US LazyData: true Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.2 Config/testthat/edition: 3 Config/pak/sysreqs: cmake make libicu-dev Repository: https://wobbrock.r-universe.dev Date/Publication: 2025-02-09 20:50:43 UTC RemoteUrl: https://github.com/wobbrock/multpois RemoteRef: HEAD RemoteSha: fc1864bfde208b4733f03e7472f39d86e5b06e4c NeedsCompilation: no Packaged: 2026-09-23 07:25:01 UTC; root Author: Jacob O. Wobbrock [aut, cre, cph] (ORCID: )