netSEM: Network Structural Equation Modeling

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) <doi:10.1109/ACCESS.2013.2267611>.

Version: 0.6.2
Depends: R (≥ 3.1.0)
Imports: DiagrammeR (≥ 0.9.2), DiagrammeRsvg (≥ 0.1), htmlwidgets (≥ 1.2), knitr (≥ 1.20), magrittr (≥ 1.5), MASS (≥ 7.3-47), rsvg (≥ 1.1), svglite (≥ 1.2.1), png (≥ 0.1-7), segmented (≥ 0.5-3.0), gtools (≥ 3.5.0)
Suggests: rmarkdown, testthat (≥ 3.0.0)
Published: 2023-09-06
DOI: 10.32614/CRAN.package.netSEM
Author: Wei-Heng Huang ORCID iD [aut], Nicholas R. Wheeler ORCID iD [aut], Addison G. Klinke ORCID iD [aut], Yifan Xu ORCID iD [aut], Wenyu Du ORCID iD [aut], Amit K. Verma ORCID iD [aut], Abdulkerim Gok ORCID iD [aut], Devin A. Gordon ORCID iD [ctb], Yu Wang ORCID iD [ctb], Sameera Nalin Venkat ORCID iD [ctb], HeinHtet Aung ORCID iD [ctb], Yeajin Jo ORCID iD [ctb], Xuanji Yu ORCID iD [ctb], Kemal Ozdemirli [ctb], Jonathan Gordon ORCID iD [ctb], Jayvic Cristian Jimenez ORCID iD [ctb], Jiqi Liu ORCID iD [ctb], Alan J. Curran ORCID iD [ctb], Justin S. Fada ORCID iD [ctb], Xuan Ma ORCID iD [ctb], Jennifer L. Braid ORCID iD [ctb], Jennifer L. W. Carter ORCID iD [ctb], Laura S. Bruckman ORCID iD [aut, cre], Roger H. French ORCID iD [aut, cph]
Maintainer: Laura S. Bruckman <lsh41 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: netSEM results


Reference manual: netSEM.pdf
Vignettes: Backsheet
IV features
Introduction of netSEM


Package source: netSEM_0.6.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): netSEM_0.6.2.tgz, r-oldrel (arm64): netSEM_0.6.2.tgz, r-release (x86_64): netSEM_0.6.2.tgz, r-oldrel (x86_64): netSEM_0.6.2.tgz
Old sources: netSEM archive


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