<?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>Estimating Asymmetric Peer Effects</dc:title>
  <dc:title>R package AsyPeer version 0.0.1</dc:title>
  <dc:description>
    Simulating and estimating asymmetric peer-effect models
    (Houndetoungan and Lambotte, 2026 &lt;doi:10.48550/arXiv.2608.09219&gt;). 
    The model nests the widely used linear-in-means model 
    (Manski, 1993 &lt;doi:10.2307/2298123&gt;; 
    Bramoulle et al., 2009 &lt;doi:10.1016/j.jeconom.2008.12.021&gt;) 
    and allows agents to be influenced differently by friends who exert more 
    or less effort than themselves.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1.0)</dc:relation>
  <dc:relation>Imports: Rcpp (&gt;= 1.0.0), ranger, glmnet, xgboost, formula.tools,
doParallel, parallel, foreach, doRNG</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppEigen, RcppProgress</dc:relation>
  <dc:relation>Suggests: PartialNetwork</dc:relation>
  <dc:creator>Mathieu Lambotte &lt;mathieu.lambotte@univ-rennes.fr&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Aristide Houndetoungan [aut] (ORCID:
    &lt;https://orcid.org/0009-0003-2733-9362&gt;),
  Mathieu Lambotte [cre, aut] (ORCID:
    &lt;https://orcid.org/0000-0002-7806-7286&gt;)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2026-08-31</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=AsyPeer</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.AsyPeer</dc:identifier>
  <dc:language>en-US</dc:language>
</oai_dc:dc>
