<?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>ML Estimation for Multivariate Normal Data with Missing Values</dc:title>
  <dc:title>R package mvnmle version 0.1-11.2</dc:title>
  <dc:subject>CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData)</dc:subject>
  <dc:description>Finds the Maximum Likelihood (ML) Estimate of the mean vector
        and variance-covariance matrix for multivariate normal data
        with missing values.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: stats</dc:relation>
  <dc:creator>Mao Kobayashi &lt;kobamao.jp@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Kevin Gross [aut] (ORCID: &lt;https://orcid.org/0000-0001-5612-7519&gt;),
  Douglas Bates [aut],
  Mao Kobayashi [cre]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2023-02-27</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=mvnmle</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.mvnmle</dc:identifier>
</oai_dc:dc>
