FDR_corrected: FDR using correlation threshold
In bravo: Bayesian Screening and Variable Selection
View source: R/calc_functions.R
FDR_corrected R Documentation
FDR using correlation threshold
Description
Computes False Discovery Rate using SNP correlation as proximity measure.
Usage
FDR_corrected(model, truth, x, threshold = 0.9)
Arguments
model
Integer vector of selected SNP indices.
truth
Integer vector of true causal SNP indices.
x
SNP matrix.
threshold
Correlation threshold (default 0.9).
bravo documentation built on June 9, 2026, 9:06 a.m.
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View source: R/calc_functions.R
| FDR_corrected | R Documentation |
FDR using correlation threshold
Description
Computes False Discovery Rate using SNP correlation as proximity measure.
Usage
FDR_corrected(model, truth, x, threshold = 0.9)
Arguments
model |
Integer vector of selected SNP indices. |
truth |
Integer vector of true causal SNP indices. |
x |
SNP matrix. |
threshold |
Correlation threshold (default 0.9). |
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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