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. Department of Energy Office of Energy, Efficiency and Renewable Energy (EERE) under Solar Energy Technologies Office (SETO) Agreement Number DE-EE0007140. [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: 0.6.0
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: 2022-08-29
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], Leean Jo 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_0.6.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): netSEM_0.6.0.tgz, r-oldrel (arm64): netSEM_0.6.0.tgz, r-release (x86_64): netSEM_0.6.0.tgz, r-oldrel (x86_64): netSEM_0.6.0.tgz
Old sources: netSEM archive


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