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gwrpvr (version 1.0)

Genome-Wide Regression P-Value (Gwrpv)

Description

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 ).

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Version

Install

install.packages('gwrpvr')

Monthly Downloads

162

Version

1.0

License

GPL-3

Maintainer

Michael O'Neill

Last Published

October 19th, 2017

Functions in gwrpvr (1.0)

loop_calc_pvalue

loop_calc_pvalue()
regresults

regresults: sample data
calc_pvalue

calc_pvalue()
close_to_normal

This is a CLT-linked run-time control.
gwrpvr

gwrpvr: A package for calculating Genome-Wide Regression P-Values (gwrpv) in R
highlow

highlow()
gwrpv

Genome-Wide Regression P-Value (gwrpv) in R
gwrpv_batch

Batch computation of a list of pvalues of GWA regression beta statistics using a bernoulli-normal mixture distribution