gwrpvr: Genome-Wide Regression P-Value (Gwrpv)
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.
Finite-sample genome-wide regression p-values (Gwrpv) with
a non-normally distributed phenotype (Gregory Connor and
Michael O'Neill, bioRxiv 204727 <doi:10.1101/204727>).
| Version: |
1.0 |
| Published: |
2017-10-19 |
| Author: |
Gregory Connor [aut],
Michael O'Neill [trl, aut, cre] |
| Maintainer: |
Michael O'Neill <m.oneill at ucd.ie> |
| License: |
GPL-3 |
| URL: |
https://doi.org/10.1101/204727 |
| NeedsCompilation: |
no |
| CRAN checks: |
gwrpvr results |
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