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>).

Getting started

Package details

AuthorGregory Connor [aut], Michael O'Neill [trl, aut, cre]
MaintainerMichael O'Neill <[email protected]>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the gwrpvr package in your browser

Any scripts or data that you put into this service are public.

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