Causal Inference Test R package cit version 2.3.2 CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference) A likelihood-based hypothesis testing approach is implemented for assessing causal mediation. Described in Millstein, Chen, and Breton (2016), <DOI:10.1093/bioinformatics/btw135>, it could be used to test for mediation of a known causal association between a DNA variant, the 'instrumental variable', and a clinical outcome or phenotype by gene expression or DNA methylation, the potential mediator. Another example would be testing mediation of the effect of a drug on a clinical outcome by the molecular target. The hypothesis test generates a p-value or permutation-based FDR value with confidence intervals to quantify uncertainty in the causal inference. The outcome can be represented by either a continuous or binary variable, the potential mediator is continuous, and the instrumental variable can be continuous or binary and is not limited to a single variable but may be a design matrix representing multiple variables. Software Depends: R (>= 4.3.0) Suggests: tinytest Joshua Millstein <joshua.millstein@usc.edu> Comprehensive R Archive Network (CRAN) Joshua Millstein [aut, cre] (ORCID: <https://orcid.org/0000-0001-7961-8943>) Artistic-2.0 2024-06-28 application/tgz https://CRAN.R-project.org/package=cit doi:10.32614/CRAN.package.cit