Package: cit
Type: Package
Title: Causal Inference Test
Version: 2.3.2
Date: 2024-06-27
Authors@R: person("Joshua", "Millstein", email = "joshua.millstein@usc.edu", role =
	c("aut", "cre"), comment = c(ORCID="0000-0001-7961-8943"))
Description: 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.
SystemRequirements: gsl (with development libraries libgsl-dev)
License: Artistic-2.0
LazyLoad: yes
Suggests: tinytest
Depends: R (>= 4.3.0)
BugReports: https://github.com/USCbiostats/cit/issues
URL: https://github.com/USCbiostats/cit
NeedsCompilation: yes
Packaged: 2024-06-28 19:06:04 UTC; mingzhiye
Author: Joshua Millstein [aut, cre] (<https://orcid.org/0000-0001-7961-8943>)
Maintainer: Joshua Millstein <joshua.millstein@usc.edu>
Repository: CRAN
Date/Publication: 2024-06-28 19:20:02 UTC
RoxygenNote: 7.3.1
Built: R 4.3.3; aarch64-apple-darwin20; 2025-01-24 05:38:11 UTC; unix
Archs: cit.so.dSYM
