get.gev.thresholds: Returns a significance threshold based on fitting max LODs or...
In gkeele/kqtl: Suite of QTL Mapping Functions
Description
Usage
Arguments
Examples
Description
This function takes an scan.h2lmm() object, and returns a specified number of outcome samples, either permutations or
from the null model of no locus effect.
Usage
1
get.gev.thresholds(threshold.scans, use.lod = FALSE, percentile = 0.95)
Arguments
threshold.scans
Output object from run.threshold.scans().
use.lod
DEFAULT: FALSE. "FALSE" specifies LOD scores. "TRUE" specifies p-values.
percentile
DEFAULT: 0.95. The desired alpha level (false positive probability) from the GEV distribution.
Examples
1
gkeele/kqtl documentation built on May 17, 2019, 6:06 a.m.
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Description Usage Arguments Examples
Description
This function takes an scan.h2lmm() object, and returns a specified number of outcome samples, either permutations or from the null model of no locus effect.
Usage
1 | get.gev.thresholds(threshold.scans, use.lod = FALSE, percentile = 0.95)
|
Arguments
threshold.scans |
Output object from run.threshold.scans(). |
use.lod |
DEFAULT: FALSE. "FALSE" specifies LOD scores. "TRUE" specifies p-values. |
percentile |
DEFAULT: 0.95. The desired alpha level (false positive probability) from the GEV distribution. |
Examples
1 |
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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