<?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>Density Estimation and Random Number Generation with
Distribution Element Trees</dc:title>
  <dc:title>R package detpack version 1.1.3</dc:title>
  <dc:description>Density estimation for possibly large data sets and conditional/unconditional random number generation or bootstrapping with distribution element trees. The function 'det.construct' translates a dataset into a distribution element tree. To evaluate the probability density based on a previously computed tree at arbitrary query points, the function 'det.query' is available. The functions 'det1' and 'det2' provide density estimation and plotting for one- and two-dimensional datasets. Conditional/unconditional smooth bootstrapping from an available distribution element tree can be performed by 'det.rnd'. For more details on distribution element trees, see: Meyer, D.W. (2016) &lt;arXiv:1610.00345&gt; or Meyer, D.W., Statistics and Computing (2017) &lt;doi:10.1007/s11222-017-9751-9&gt; and Meyer, D.W. (2017) &lt;arXiv:1711.04632&gt; or Meyer, D.W., Journal of Computational and Graphical Statistics (2018) &lt;doi:10.1080/10618600.2018.1482768&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: parallel, graphics, grDevices, stats</dc:relation>
  <dc:creator>Daniel Meyer &lt;meyerda@ethz.ch&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Daniel Meyer</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2019-07-24</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=detpack</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.detpack</dc:identifier>
</oai_dc:dc>