<?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>One-Step Estimation</dc:title>
  <dc:title>R package OneStep version 0.9.4</dc:title>
  <dc:subject>CRAN Task View: Distributions (https://CRAN.R-project.org/view=Distributions)</dc:subject>
  <dc:description>Provide principally an eponymic function that numerically computes 
  the Le Cam's one-step estimator for an independent and identically distributed sample. 
  One-step estimation is asymptotically 
  efficient (see L. Le Cam (1956) &lt;https://projecteuclid.org/euclid.bsmsp/1200501652&gt;) 
  and can be computed faster than the maximum likelihood estimator for large observation 
  samples, see e.g. Brouste et al. (2021) &lt;doi:10.32614/RJ-2021-044&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: fitdistrplus, numDeriv, parallel, extraDistr</dc:relation>
  <dc:relation>Suggests: actuar</dc:relation>
  <dc:creator>Christophe Dutang &lt;dutangc@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Alexandre Brouste [aut] (ORCID:
    &lt;https://orcid.org/0000-0001-6719-7432&gt;),
  Christophe Dutang [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0001-6732-1501&gt;),
  Darel Noutsa Mieniedou [ctb]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2024-10-17</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=OneStep</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.OneStep</dc:identifier>
</oai_dc:dc>
