<?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>Network Structural Equation Modeling</dc:title>
  <dc:title>R package netSEM version 0.7.0</dc:title>
  <dc:description>The network structural equation modeling conducts a network 
    statistical analysis on a data frame of coincident observations of 
    multiple continuous variables [1]. 
    It builds a pathway model by exploring a pool of domain knowledge guided 
    candidate statistical relationships between each of the variable pairs, 
    selecting the 'best fit' on the basis of a specific criteria such as 
    adjusted r-squared value.
    This material is based upon work supported by the U.S. National Science 
    Foundation Award EEC-2052776 and EEC-2052662 for the MDS-Rely IUCRC Center, 
    under the NSF Solicitation: 
    NSF 20-570 Industry-University Cooperative Research Centers Program 
    [1] Bruckman, Laura S., Nicholas R. Wheeler, Junheng Ma, Ethan Wang, 
    Carl K. Wang, Ivan Chou, Jiayang Sun, and Roger H. French. (2013) 
    &lt;doi:10.1109/ACCESS.2013.2267611&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.1.0)</dc:relation>
  <dc:relation>Imports: DiagrammeR (&gt;= 0.9.2), DiagrammeRsvg (&gt;= 0.1), htmlwidgets (&gt;=
1.2), knitr (&gt;= 1.20), magrittr (&gt;= 1.5), MASS (&gt;= 7.3-47),
rsvg (&gt;= 1.1), svglite (&gt;= 1.2.1), png (&gt;= 0.1-7), segmented
(&gt;= 0.5-3.0), rlang (&gt;= 1.1.3), butcher (&gt;= 0.4.0), glue (&gt;=
1.8.0), purrr (&gt;= 1.2.1), stats (&gt;= 4.5.2), tibble (&gt;= 3.3.0),
broom (&gt;= 1.0.11), dplyr (&gt;= 1.1.4), janitor (&gt;= 2.2.1),
rcompanion (&gt;= 2.5.1), tidyr (&gt;= 1.3.2), stringr (&gt;= 1.6.0)</dc:relation>
  <dc:relation>Suggests: rmarkdown, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Laura S. Bruckman &lt;lsh41@case.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Wei-Heng Huang [aut] (ORCID: &lt;https://orcid.org/0000-0002-6609-4981&gt;),
  Nicholas R. Wheeler [aut] (ORCID:
    &lt;https://orcid.org/0000-0003-2248-8919&gt;),
  Addison G. Klinke [aut] (ORCID:
    &lt;https://orcid.org/0000-0002-6985-7657&gt;),
  Yifan Xu [aut] (ORCID: &lt;https://orcid.org/0000-0003-1696-0228&gt;),
  Wenyu Du [aut] (ORCID: &lt;https://orcid.org/0000-0002-8672-9104&gt;),
  Amit K. Verma [aut] (ORCID: &lt;https://orcid.org/0000-0003-1580-3001&gt;),
  Abdulkerim Gok [aut] (ORCID: &lt;https://orcid.org/0000-0003-3433-7106&gt;),
  Devin A. Gordon [ctb] (ORCID: &lt;https://orcid.org/0000-0002-5919-0422&gt;),
  Yu Wang [ctb] (ORCID: &lt;https://orcid.org/0000-0003-1353-2578&gt;),
  Sameera Nalin Venkat [ctb] (ORCID:
    &lt;https://orcid.org/0000-0002-9114-4602&gt;),
  HeinHtet Aung [ctb] (ORCID: &lt;https://orcid.org/0000-0002-8191-8213&gt;),
  Yeajin Jo [ctb] (ORCID: &lt;https://orcid.org/0000-0001-7026-3779&gt;),
  Xuanji Yu [ctb] (ORCID: &lt;https://orcid.org/0000-0003-1967-3769&gt;),
  Kemal Ozdemirli [ctb],
  Van D. Tran [ctb] (ORCID: &lt;https://orcid.org/0009-0008-4355-0543&gt;),
  Jonathan Gordon [ctb] (ORCID: &lt;https://orcid.org/0009-0007-5958-7386&gt;),
  Jayvic Cristian Jimenez [ctb] (ORCID:
    &lt;https://orcid.org/0000-0002-2342-5648&gt;),
  Jiqi Liu [ctb] (ORCID: &lt;https://orcid.org/0000-0003-2016-4160&gt;),
  Alan J. Curran [ctb] (ORCID: &lt;https://orcid.org/0000-0002-4505-8359&gt;),
  Justin S. Fada [ctb] (ORCID: &lt;https://orcid.org/0000-0002-0029-5051&gt;),
  Xuan Ma [ctb] (ORCID: &lt;https://orcid.org/0000-0003-2361-2846&gt;),
  Jennifer L. Braid [ctb] (ORCID:
    &lt;https://orcid.org/0000-0002-0677-7756&gt;),
  Jennifer L. W. Carter [ctb] (ORCID:
    &lt;https://orcid.org/0000-0001-6702-729X&gt;),
  Laura S. Bruckman [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0003-1271-1072&gt;),
  Roger H. French [aut, cph] (ORCID:
    &lt;https://orcid.org/0000-0002-6162-0532&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2026-02-24</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=netSEM</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.netSEM</dc:identifier>
</oai_dc:dc>
