<?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>Probit with Spatial Dependence, SAR, SEM and SARAR Models</dc:title>
  <dc:title>R package ProbitSpatial version 1.1</dc:title>
  <dc:subject>CRAN Task View: Spatial (https://CRAN.R-project.org/view=Spatial)</dc:subject>
  <dc:description>Fast estimation of binomial spatial probit regression models with spatial autocorrelation for big datasets.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: Matrix</dc:relation>
  <dc:relation>Imports: numDeriv, RANN, Rcpp (&gt;= 1.0.4.6), methods</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppEigen</dc:relation>
  <dc:creator>Davide Martinetti &lt;davide.martinetti@inrae.fr&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Davide Martinetti [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0003-2047-1793&gt;),
  Ghislain Geniaux [aut]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2021-06-30</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=ProbitSpatial</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.ProbitSpatial</dc:identifier>
</oai_dc:dc>
