<?xml version="1.0" encoding="UTF-8"?>
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  <dc:title>Sparse Matrix Estimation and Inference</dc:title>
  <dc:title>R package sparseMatEst version 1.0.0</dc:title>
  <dc:description>The 'sparseMatEst' package provides functions for estimating sparse 
  covariance and precision matrices with error control. A false positive
  rate is fixed corresponding to the probability of falsely including a matrix 
  entry in the support of the estimator.  It uses the binary search
  method outlined in Kashlak and Kong (2019) &lt;arXiv:1705.02679&gt; and in 
  Kashlak (2019) &lt;arXiv:1903.10988&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: stats, glasso</dc:relation>
  <dc:creator>Adam B Kashlak &lt;kashlak@ualberta.ca&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Adam B Kashlak [aut, cre],
  Xinyu Zhang [ctb]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2019-05-17</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=sparseMatEst</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.sparseMatEst</dc:identifier>
</oai_dc:dc>
