gwrpvr: gwrpvr: A package for calculating Genome-Wide Regression...
In gwrpvr: Genome-Wide Regression P-Value (Gwrpv)
Description
Computes the sample probability value (p-value) for the estimated coefficient
from a standard genome-wide univariate regression.
It computes the exact finite-sample p-value under the assumption that
the measured phenotype (the dependent variable in the regression)
has a known Bernoulli-normal mixture distribution.
Details
The gwrpvr package provides two functions:
gwrpv and gwrpv_batch.
gwrpvr documentation built on May 2, 2019, 7:59 a.m.
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Description
Computes the sample probability value (p-value) for the estimated coefficient from a standard genome-wide univariate regression. It computes the exact finite-sample p-value under the assumption that the measured phenotype (the dependent variable in the regression) has a known Bernoulli-normal mixture distribution.
Details
The gwrpvr package provides two functions: gwrpv and gwrpv_batch.
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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