<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Improved q-Values for Discrete Uniform and Homogeneous Tests</dc:title>
  <dc:title>R package DiscreteQvalue version 1.1</dc:title>
  <dc:description>We consider a multiple testing procedure used in many modern applications which is the q-value method proposed by Storey and Tibshirani (2003), &lt;doi:10.1073/pnas.1530509100&gt;. The q-value method is based on the false discovery rate (FDR), hence versions of the q-value method can be defined depending on which estimator of the proportion of true null hypotheses, p0, is plugged in the FDR estimator. We implement the q-value method based on two classical pi0 estimators, and furthermore, we propose and implement three versions of the q-value method for homogeneous discrete uniform P-values based on pi0 estimators which take into account the discrete distribution of the P-values.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Suggests: coin, exactRankTests</dc:relation>
  <dc:creator>Marta Cousido Rocha &lt;martacousido@uvigo.es&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Marta Cousido Rocha [aut, cre],
  José Carlos Soage González [ctr],
  Jacobo de Uña Álvarez [aut, ths],
  Sebastian Döhler [aut]</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2020-04-01</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=DiscreteQvalue</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.DiscreteQvalue</dc:identifier>
</oai_dc:dc>
