<?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>Computes the Variance-Covariance Matrix of Multidimensional
Parameters Using M-Estimation</dc:title>
  <dc:title>R package Mestim version 0.2.1</dc:title>
  <dc:description>Provides a flexible framework for estimating the variance-covariance matrix of estimated parameters. Estimation relies on unbiased estimating functions to compute the empirical sandwich variance. (i.e., M-estimation in the vein of Tsiatis et al. (2019) &lt;doi:10.1201/9780429192692&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: stats</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, boot</dc:relation>
  <dc:creator>François Grolleau &lt;francois.grolleau@aphp.fr&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>François Grolleau </dc:contributor>
  <dc:rights>MIT + file LICENCE (https://CRAN.R-project.org/package=Mestim/LICENCE)</dc:rights>
  <dc:date>2022-12-21</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=Mestim</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.Mestim</dc:identifier>
</oai_dc:dc>
