sim_and_mr: Simulate U,X and Y and run MR on them
In askieslinger/MRTool: Simulating Data for Mendelian Randomization Scenarios Based on Genotype Data
Description
Usage
Arguments
Value
Description
Simulates confounder U, exposure X and outcome Y based on genotype data and betacoefficients.
For examples see vignette browseVignettes('MRTool')
Usage
1
sim_and_mr(SNP_data, SNP, my_Parameters, reverse = FALSE)
Arguments
reverse=FALSE
TRUE if MR should be conducted with X as putative outcome
and Y as putative exposure
Value
list(reg_res,sim_data,mr_res)
askieslinger/MRTool documentation built on April 29, 2020, 12:02 p.m.
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Description Usage Arguments Value
Description
Simulates confounder U, exposure X and outcome Y based on genotype data and betacoefficients. For examples see vignette browseVignettes('MRTool')
Usage
1 | sim_and_mr(SNP_data, SNP, my_Parameters, reverse = FALSE)
|
Arguments
reverse=FALSE |
TRUE if MR should be conducted with X as putative outcome and Y as putative exposure |
Value
list(reg_res,sim_data,mr_res)
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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