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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>).
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Package details |
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| Author | Gregory Connor [aut], Michael O'Neill [trl, aut, cre] |
| Maintainer | Michael O'Neill <m.oneill@ucd.ie> |
| License | GPL-3 |
| Version | 1.0 |
| URL | https://doi.org/10.1101/204727 |
| Package repository | View on CRAN |
| Installation |
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