reverseMAdata: reverseMAdata
In SharonLutz/reverseCT: This package contains methods to run mediation analysis and MR with reverse causality
Description
Usage
Arguments
Value
Author(s)
View source: R/reverseMAdata.R
Description
Apply mediate function from the mediation package in scenarios of reverse causality.
Usage
1
reverseMAdata(X, M, Y, SEED = 1, nSimImai = 1000)
Arguments
X
is the exposure
M
is the mediator
Y
is the outcome
SEED
is the seed
nSimImai
is the number of simulations for the mediate method
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/reverseCT documentation built on Oct. 30, 2019, 11:54 p.m.
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Description Usage Arguments Value Author(s)
View source: R/reverseMAdata.R
Description
Apply mediate function from the mediation package in scenarios of reverse causality.
Usage
1 | reverseMAdata(X, M, Y, SEED = 1, nSimImai = 1000)
|
Arguments
X |
is the exposure |
M |
is the mediator |
Y |
is the outcome |
SEED |
is the seed |
nSimImai |
is the number of simulations for the mediate method |
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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