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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
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 case.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: netSEM results

Documentation:

Reference manual: netSEM.pdf
Vignettes: Backsheet
IV features
PVmodule
acrylic
Cracking
metal
Introduction of netSEM
PET

Downloads:

Package source: netSEM_0.6.2.tar.gz
Windows binaries: r-devel: netSEM_0.6.2.zip, r-release: netSEM_0.6.2.zip, r-oldrel: netSEM_0.6.2.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=netSEM to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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