regresults

<p>A sample dataset of input regression results based on machine-level accurate cumulative normal values.
Rather than just typing in a few digits of the 2.5
the norminverse function in RATS was used to create sample-case betas which are exact</p>

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>).

Michael O'Neill

gwrpvr

Genome-Wide Regression P-Value (Gwrpv)

Gregory Connor

regresults function

<p>csv format file with 4 variables (beta, n0, n1, n2) and 120 rows</p>

regresults: regresults: sample data

Description

Arguments

Format