<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>ucdncra.r-universe.dev</title><link>https://ucdncra.r-universe.dev</link><description>Recent package updates in ucdncra</description><generator>R-universe</generator><image><url>https://github.com/ucdncra.png</url><title>R packages by ucdncra</title><link>https://ucdncra.r-universe.dev</link></image><lastBuildDate>Tue, 14 Dec 2021 18:20:38 GMT</lastBuildDate><item><title>[mfjoneill] gwrpvr 1.0</title><author>m.oneill@ucd.ie (Michael ONeill)</author><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
&lt;doi:10.1101/204727&gt;).</description><link>https://github.com/r-universe/mfjoneill/actions/runs/37612056875</link><pubDate>Tue, 14 Dec 2021 18:20:38 GMT</pubDate><r:package>gwrpvr</r:package><r:version>1.0</r:version><r:status>success</r:status><r:repository>https://mfjoneill.r-universe.dev</r:repository><r:upstream>https://github.com/mfjoneill/gwrpvr</r:upstream></item></channel></rss>