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maczic
View on CRAN: Click
here
Download and install maczic package within the R console
Install from CRAN:
install.packages("maczic")
Install from Github:
library("remotes")
install_github("cran/maczic") Install by package version:
library("remotes")
install_version("maczic", "1.1.0") Attach the package and use:
library("maczic")
Maintained by
Nancy Cheng
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-09
Latest Update: 2025-09-03
Description:
Performs causal mediation analysis for count and zero-inflated
count data without or with a post-treatment confounder; calculates power
to detect prespecified causal mediation effects, direct effects, and
total effects; performs sensitivity analysis when there is a treatment-
induced mediator-outcome confounder as described by Cheng, J., Cheng, N.F.,
Guo, Z., Gregorich, S., Ismail, A.I., Gansky, S.A. (2018)
. Implements Instrumental Variable (IV)
method to estimate the controlled (natural) direct and mediation effects,
and compute the bootstrap Confidence Intervals as described by Guo, Z.,
Small, D.S., Gansky, S.A., Cheng, J. (2018) . This
software was made possible by Grant R03DE028410 from the National
Institute of Dental and Craniofacial Research, a component of the National
Institutes of Health.
How to cite:
Nancy Cheng (2020). maczic: Mediation Analysis for Count and Zero-Inflated Count Data. R package version 1.1.0, https://cran.r-project.org/web/packages/maczic. Accessed 04 Jun. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for maczic
Functions, R codes and Examples using
the maczic R package
Some associated functions: maczic . maczic_power . mediate_iv . mediate_zi . mediate_zi_vcoef . midvd_bt100 . plot_sensitivity .
Some associated R codes: data.R . maczic.R . maczic_power.R . mediate_iv.R . mediate_zi.R . mediate_zi_vcoef.R . plot_sensitivity.R . Full maczic package functions and examples
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