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mzipmed  

Mediation using MZIP Model
View on CRAN: Click here


Download and install mzipmed package within the R console
Install from CRAN:
install.packages("mzipmed")

Install from Github:
library("remotes")
install_github("cran/mzipmed")

Install by package version:
library("remotes")
install_version("mzipmed", "1.4.0")



Attach the package and use:
library("mzipmed")
Maintained by
Andrew Sims
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-21
Latest Update: 2023-07-07
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 ). 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.
How to cite:
Andrew Sims (2023). mzipmed: Mediation using MZIP Model. R package version 1.4.0, https://cran.r-project.org/web/packages/mzipmed
Previous versions and publish date:
1.2.5 (2023-03-21 20:40), 1.3.0 (2023-04-16 21:40), 1.3.5 (2023-05-27 18:50)
Other packages that cited mzipmed R package
View mzipmed citation profile
Other R packages that mzipmed depends, imports, suggests or enhances
Functions, R codes and Examples using the mzipmed R package
Some associated functions: binoutzimed . binoutzimedint . lmoutzimed . lmoutzimedint . mzip . mzipmed_data . zioutbinmed . zioutbinmedint . zioutlmmed . zioutlmmedint . 
Some associated R codes: data.R . mzipmed_package.R .  Full mzipmed package functions and examples
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