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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 |
| Reference manual: | gwrpvr.pdf |
| Package source: | gwrpvr_1.0.tar.gz |
| Windows binaries: | r-devel: gwrpvr_1.0.zip, r-release: gwrpvr_1.0.zip, r-oldrel: gwrpvr_1.0.zip |
| macOS binaries: | r-release (arm64): gwrpvr_1.0.tgz, r-oldrel (arm64): gwrpvr_1.0.tgz, r-release (x86_64): gwrpvr_1.0.tgz, r-oldrel (x86_64): gwrpvr_1.0.tgz |
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These binaries (installable software) and packages are in development.
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