Package: multpois
Title: Analyze Nominal Response Data with the Multinomial-Poisson Trick
Version: 0.1.0
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 <wobbrock@uw.edu>
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.
License: GPL (>= 2)
URL: https://github.com/wobbrock/multpois/
BugReports: https://github.com/wobbrock/multpois/issues/new
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)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.3.2
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2024-10-13 16:34:08 UTC; wobbrock
Author: Jacob O. Wobbrock [aut, cre, cph]
    (<https://orcid.org/0000-0003-3675-5491>)
Repository: CRAN
Date/Publication: 2024-10-16 16:50:03 UTC
