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
DOI:	10.32614/CRAN.package.gwrpvr
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

Documentation:

Reference manual:

gwrpvr.html , gwrpvr.pdf

Downloads:

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

Linking:

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