Package: mzipmed
Title: Mediation using MZIP Model
Version: 1.4.0
Authors@R: c(
    person(given = "Andrew",
           family = "Sims",
           role = c("aut", "cre"),
           email = "ams329@uab.edu",
           comment = c(ORCID = "0000-0001-8525-4381")),
	person(given="Dustin",family="Long", role="aut"),
	person(given="Hemant",family="Tiwari",role="aut"),
	person(given="Leann",family="Long",role="aut"))
Author: Andrew Sims [aut, cre]
        (<https://orcid.org/0000-0001-8525-4381>), Dustin Long [aut],
        Hemant Tiwari [aut], Leann Long [aut]
Maintainer: Andrew Sims <ams329@uab.edu>
Description: We implement functions allowing for mediation analysis to
        be performed in cases where the mediator is a count variable
        with excess zeroes. First a function is provided allowing users
        to perform analysis for zero-inflated count variables using the
        marginalized zero-inflated Poisson (MZIP) model (Long et al.
        2014 <DOI:10.1002/sim.6293>). Using the counterfactual approach
        to mediation and MZIP we can obtain natural direct and indirect
        effects for the overall population. Using delta method
        processes variance estimation can be performed instantaneously.
        Alternatively, bootstrap standard errors can be used. We also
        provide functions for cases with exposure-mediator interactions
        with four-way decomposition of total effect.
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.2
Imports: MASS, stats, matrixStats, sandwich
License: MIT + file LICENSE
Depends: R (>= 2.10)
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
Repository: https://ams329.r-universe.dev
Date/Publication: 2023-07-07 15:52:32 UTC
RemoteUrl: https://github.com/ams329/mzipmed
RemoteRef: HEAD
RemoteSha: 4cdb39639c710a216fb64afe3cd3962c83a67314
NeedsCompilation: no
Packaged: 2026-06-23 08:05:50 UTC; root