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>
License: GPL-3
NeedsCompilation: no
CRAN checks: gwrpvr results


Reference manual: gwrpvr.pdf


Package source: gwrpvr_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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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