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