<?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>R Object Oriented Programming for Statistical Distribution</dc:title>
  <dc:title>R package ROOPSD version 0.3.9</dc:title>
  <dc:subject>CRAN Task View: Distributions (https://CRAN.R-project.org/view=Distributions)</dc:subject>
  <dc:description>Statistical distribution in OOP (Object Oriented Programming) way.
             This package proposes a R6 class interface to classic statistical
             distribution, and new distributions can be easily added with the
             class AbstractDist. A useful point is the generic fit() method for
             each class, which uses a maximum likelihood estimation to find the
             parameters of a dataset, see, e.g. Hastie, T. and al (2009)
             &lt;isbn:978-0-387-84857-0&gt;. Furthermore, the rv_histogram class
             gives a non-parametric fit, with the same accessors that for the
             classic distribution. Finally, three random generators useful to
             build synthetic data are given: a multivariate normal generator, an
             orthogonal matrix generator, and a symmetric positive definite
             matrix generator, see Mezzadri, F. (2007)
             &lt;arXiv:math-ph/0609050&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.3)</dc:relation>
  <dc:relation>Imports: methods, R6, Lmoments, numDeriv</dc:relation>
  <dc:creator>Yoann Robin &lt;yoann.robin.k@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Yoann Robin [aut, cre]</dc:contributor>
  <dc:rights>CeCILL-2</dc:rights>
  <dc:date>2023-09-11</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=ROOPSD</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.ROOPSD</dc:identifier>
</oai_dc:dc>
