maczic: 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) <doi:10.1177/0962280216686131>. 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) <doi:10.1111/rssc.12233>.

Version: 0.1.0
Depends: R (≥ 4.0), MASS, pscl, graphics
Imports: sandwich, survival, stats, mediation, emplik, BB, mathjaxr
Suggests: SuppDists
Published: 2020-11-09
Author: Nancy Cheng, Zijian Guo, Jing Cheng
Maintainer: Nancy Cheng <Nancy.Cheng at ucsf.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: maczic results

Downloads:

Reference manual: maczic.pdf
Package source: maczic_0.1.0.tar.gz
Windows binaries: r-devel: maczic_0.1.0.zip, r-release: maczic_0.1.0.zip, r-oldrel: not available
macOS binaries: r-release: maczic_0.1.0.tgz, r-oldrel: not available

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