{ "_id": "6acf6f94e2d863f662952186", "Package": "maczic", "Version": "1.1.0", "Date": "2025-8-19", "Title": "Mediation Analysis for Count and Zero-Inflated Count Data", "Author": "Nancy Cheng [aut, cre], Zijian Guo [aut], Jing Cheng [aut]", "Authors@R": "c(person(given = \"Nancy\",\nfamily = \"Cheng\",\nrole = c(\"aut\", \"cre\"),\nemail = \"Nancy.Cheng@ucsf.edu\"),\nperson(given = \"Zijian\",\nfamily = \"Guo\",\nrole = \"aut\",\nemail = \"zijguo@stat.rutgers.edu\"),\nperson(given = \"Jing\",\nfamily = \"Cheng\",\nrole = \"aut\",\nemail = \"Jing.Cheng@ucsf.edu\"))", "Maintainer": "Nancy Cheng ", "RdMacros": "mathjaxr", "Description": "Performs causal mediation analysis for count and\nzero-inflated count data without or with a post-treatment\nconfounder; calculates power to detect prespecified causal\nmediation effects, direct effects, and total effects; performs\nsensitivity analysis when there is a treatment- induced\nmediator-outcome confounder as described by Cheng, J., Cheng,\nN.F., Guo, Z., Gregorich, S., Ismail, A.I., Gansky, S.A. (2018)\n. Implements Instrumental\nVariable (IV) method to estimate the controlled (natural)\ndirect and mediation effects, and compute the bootstrap\nConfidence Intervals as described by Guo, Z., Small, D.S.,\nGansky, S.A., Cheng, J. (2018) . 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