reverseMRdata: reverseMRdata
In SharonLutz/reverseC: This package contains methods to run mediation analysis and MR with reverse causality
Usage
Arguments
Value
Author(s)
View source: R/reverseMRdata.R
Usage
1
reverseMRdata(nSNP = 3, X, M, Y, SEED = 1)
Arguments
nSNP
the number of SNPS
X
is a vector of SNP data, where each SNP is a column and the number of rows is the number of subjects
M
is the mediator
Y
is the outcome
SEED
is the seed
Value
a list of Estimates and p-values for the direct and indirect effects in situations with and without reverse causality.
Author(s)
Annie Thwing, Sharon Lutz
SharonLutz/reverseC documentation built on Aug. 29, 2019, 5:58 a.m.
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Usage Arguments Value Author(s)
View source: R/reverseMRdata.R
Usage
1 | reverseMRdata(nSNP = 3, X, M, Y, SEED = 1)
|
Arguments
nSNP |
the number of SNPS |
X |
is a vector of SNP data, where each SNP is a column and the number of rows is the number of subjects |
M |
is the mediator |
Y |
is the outcome |
SEED |
is the seed |
Value
a list of Estimates and p-values for the direct and indirect effects in situations with and without reverse causality.
Author(s)
Annie Thwing, Sharon Lutz
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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