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cit
View on CRAN: Click
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Download and install cit package within the R console
Install from CRAN:
install.packages("cit")
Install from Github:
library("remotes")
install_github("cran/cit")
Install by package version:
library("remotes")
install_version("cit", "2.3.1")
Attach the package and use:
library("cit")
Maintained by
Joshua Millstein
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-09-07
Latest Update: 2021-05-25
Description:
A likelihood-based hypothesis testing approach is implemented for
assessing causal mediation. Described in Millstein, Chen, and Breton (2016),
, 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.
How to cite:
Joshua Millstein (2011). cit: Causal Inference Test. R package version 2.3.1, https://cran.r-project.org/web/packages/cit
Previous versions and publish date:
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Functions, R codes and Examples using
the cit R package
Some associated functions: cit-package . cit.bp . cit.cp . fdr.cit . fdr.od . fdr.q.para . fdr.q.perm . iuq . linreg .
Some associated R codes: C_CIT.R . Full cit package functions and examples
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