mzipmed: Mediation using MZIP Model

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.

Version:	1.4.0
Depends:	R (≥ 2.10)
Imports:	MASS, stats, matrixStats, sandwich
Suggests:	rmarkdown, knitr
Published:	2023-07-07
DOI:	10.32614/CRAN.package.mzipmed
Author:	Andrew Sims [aut, cre], Dustin Long [aut], Hemant Tiwari [aut], Leann Long [aut]
Maintainer:	Andrew Sims <ams329 at uab.edu>
License:	MIT + file LICENSE
NeedsCompilation:	no
CRAN checks:	mzipmed results

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