<?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>Fast Inference for Large Spatial Datasets using BRISC</dc:title>
  <dc:title>R package BRISC version 1.0.6</dc:title>
  <dc:description>Fits bootstrap with univariate spatial regression models using Bootstrap for Rapid Inference on Spatial Covariances (BRISC) for large datasets using nearest neighbor Gaussian processes detailed in Saha and Datta (2018) &lt;doi:10.1002/sta4.184&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.3.0), RANN, parallel, stats, rdist, matrixStats,
pbapply, graphics</dc:relation>
  <dc:creator>Arkajyoti Saha &lt;arkajyotisaha93@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Arkajyoti Saha [aut, cre],
  Abhirup Datta [aut],
  Jorge Nocedal [ctb],
  Naoaki Okazaki [ctb],
  Lukas M. Weber [ctb]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2024-10-02</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=BRISC</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.BRISC</dc:identifier>
</oai_dc:dc>
