cit: Causal Inference Test

A likelihood-based hypothesis testing approach is implemented for assessing causal mediation. For example, 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.

Install the latest version of this package by entering the following in R:
install.packages("cit")
AuthorJoshua Millstein
Date of publication2016-11-15 07:16:48
MaintainerJoshua Millstein <joshua.millstein@usc.edu>
LicenseArtistic-2.0
Version2.1

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Files

src
src/Makevars
src/citconlog3_perm_v5.cpp
src/logisticfunc.h
src/citconlog3cvr_perm_v6.cpp
src/citconlog2cvr_v3.cpp
src/Makevars.win
src/citconlog2_v3.cpp
src/logisticfunc.cpp
NAMESPACE
R
R/C_CIT_V13.R
MD5
DESCRIPTION
man
man/fdr.q.perm.Rd man/cit.bp.Rd man/fdr.cit.Rd man/cit-package.Rd man/iuq.Rd man/fdr.od.Rd man/fdr.q.para.Rd man/cit.cp.Rd man/linreg.Rd
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