Package: mcount
Type: Package
Title: Marginalized Count Regression Models
Version: 1.0.1
Authors@R: 
    c(
      person("Zhengyang", "Zhou", role = c("aut", "cre"),
             email = "zhengyang.zhou@unthsc.edu"),
      person("Dateng", "Li", role = "aut"),
      person("David", "Huh", role = "aut"),
      person("Minge", "Xie", role = "aut"),
      person("Eun-Young", "Mun", role = "aut")
    )
Description: Implementation of marginalized models for zero-inflated
        count data. The package provides tools to estimate marginalized
        count regression models for direct inference on the effect of
        covariates on the marginal mean of the outcome. The methods
        include the marginalized zero-inflated Poisson (MZIP) model
        described in Long et al. (2014) <doi:10.1002/sim.6293> and the
        marginalized zero- and N-inflated binomial (MZNIB) model, which
        extends marginalized modeling to fractional count outcomes with
        boundary inflation at zero and the upper limit.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: bbmle, boot, boot.pval, rootSolve, robustbase, stats
NeedsCompilation: no
RoxygenNote: 7.3.3
Packaged: 2026-06-21 06:48:23 UTC; root
Author: Zhengyang Zhou [aut, cre], Dateng Li [aut], David Huh [aut],
        Minge Xie [aut], Eun-Young Mun [aut]
Maintainer: Zhengyang Zhou <zhengyang.zhou@unthsc.edu>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-04-21 23:55:47 UTC
RemoteUrl: https://github.com/cran/mcount
RemoteRef: HEAD
RemoteSha: 0750dbfb3552425f3e7e7674f1653745bec46abe