<?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>Distributed-Lag Linear Structural Equation Models</dc:title>
  <dc:title>R package dlsem version 2.4.6</dc:title>
  <dc:subject>CRAN Task View: Econometrics (https://CRAN.R-project.org/view=Econometrics)</dc:subject>
  <dc:description>Inference functionalities for distributed-lag linear structural equation models (DLSEMs). DLSEMs are Markovian structural causal models where each factor of the joint probability distribution is a distributed-lag linear regression with constrained lag shapes (Magrini, 2018 &lt;doi:10.2478/bile-2018-0012&gt;; Magrini et al., 2019 &lt;doi:10.1007/s11135-019-00855-z&gt;). DLSEMs account for temporal delays in the dependence relationships among the variables through a single parameter per covariate, thus allowing to perform dynamic causal inference in a feasible fashion. Endpoint-constrained quadratic, quadratic decreasing, linearly decreasing and gamma lag shapes are available.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0), graph, Rgraphviz</dc:relation>
  <dc:relation>Imports: methods</dc:relation>
  <dc:creator>Alessandro Magrini &lt;alessandro.magrini@unifi.it&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Alessandro Magrini</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2020-04-16</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=dlsem</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.dlsem</dc:identifier>
</oai_dc:dc>