gwrpvr: Genome-Wide Regression P-Value (Gwrpv)
Version 1.0

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 ).

Getting started

Package details

AuthorGregory Connor [aut], Michael O'Neill [trl, aut, cre]
Date of publication2017-10-19 17:47:54 UTC
MaintainerMichael O'Neill <[email protected]>
LicenseGPL-3
Version1.0
URL https://doi.org/10.1101/204727
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("gwrpvr")

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gwrpvr documentation built on Nov. 17, 2017, 6:40 a.m.