FPR_corrected: FPR using correlation threshold
In bravo: Bayesian Screening and Variable Selection
View source: R/calc_functions.R
FPR_corrected R Documentation
FPR using correlation threshold
Description
Computes False Positive Rate using SNP correlation as proximity measure.
Usage
FPR_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 May 27, 2026, 5:08 p.m.
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.
View source: R/calc_functions.R
| FPR_corrected | R Documentation |
FPR using correlation threshold
Description
Computes False Positive Rate using SNP correlation as proximity measure.
Usage
FPR_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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.