Mediation Analysis for Count and Zero-Inflated Count Data

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) .


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install.packages("maczic")

0.1.0 by Nancy Cheng, 5 months ago


Browse source code at https://github.com/cran/maczic


Authors: Nancy Cheng , Zijian Guo , Jing Cheng


Documentation:   PDF Manual  


GPL (>= 2) license


Imports sandwich, survival, stats, mediation, emplik, BB, mathjaxr

Depends on MASS, pscl, graphics

Suggests SuppDists


See at CRAN