CIV: Find a unique solution of CIV.
In LaiJiang/CIVMR: Constrained Instrumental Variables in Mendelian Randomization with Pleiotropy
Description
Usage
Arguments
Value
Examples
View source: R/CIVMR_function.R
Description
This function find the unique CIV solution.
Usage
1
CIV(MR.data)
Arguments
MR.data:
A data.frame() object containg G,X,Z,Y.
Value
c: solution vector to the constrained maximization problem.
max_value: the maximized correlation value.
CIV: the new instrumentable variable for MR analysis: constrained instrumental variable.
Examples
1
2
3
4
data(simulation)
civ.fit <- CIV(simulation)
#plot the weight c
plot(civ.fit$c)
LaiJiang/CIVMR documentation built on July 16, 2020, 12:45 a.m.
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Description Usage Arguments Value Examples
View source: R/CIVMR_function.R
Description
This function find the unique CIV solution.
Usage
1 | CIV(MR.data)
|
Arguments
MR.data: |
A data.frame() object containg G,X,Z,Y. |
Value
c: solution vector to the constrained maximization problem.
max_value: the maximized correlation value.
CIV: the new instrumentable variable for MR analysis: constrained instrumental variable.
Examples
1 2 3 4 | data(simulation)
civ.fit <- CIV(simulation)
#plot the weight c
plot(civ.fit$c)
|
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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