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.
- Version1.4.0
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release07/07/2023
Documentation
Team
Andrew Sims
MaintainerShow author detailsDustin Long
Show author detailsRolesAuthorHemant Tiwari
Show author detailsRolesAuthorLeann Long
Show author detailsRolesAuthor
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