<?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>Spatial Autoregressive Graphical Model</dc:title>
  <dc:title>R package SAGM version 1.0.0</dc:title>
  <dc:description>Implements the methodological developments found in Hermes, van Heerwaarden, and Behrouzi (2023) &lt;doi:10.48550/arXiv.2308.04325&gt;, and allows for the statistical modeling of asymmetric between-location effects, as well as within-location effects using spatial autoregressive graphical models. The package allows for the generation of spatial weight matrices to capture asymmetric effects for strip-type intercropping designs, although it can handle any type of spatial data commonly found in other sciences.  </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.10)</dc:relation>
  <dc:relation>Imports: fastmatrix, GIGrvg, stats, utils, mvtnorm</dc:relation>
  <dc:creator>Sjoerd Hermes &lt;sjoerd.hermes@wur.nl&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Sjoerd Hermes [aut, cre],
  Joost van Heerwaarden [ctb],
  Pariya Behrouzi [ctb]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2024-02-06</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=SAGM</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.SAGM</dc:identifier>
</oai_dc:dc>