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 [aut], Nicholas R. Wheeler [aut], Addison G. Klinke [aut], Yifan Xu [aut], Wenyu Du [aut], Amit K. Verma [aut], Abdulkerim Gok [aut], Devin A. Gordon [ctb], Yu Wang [ctb], Sameera Nalin Venkat [ctb], HeinHtet Aung [ctb], Yeajin Jo [ctb], Xuanji Yu [ctb], Kemal Ozdemirli [ctb], Jonathan Gordon [ctb], Jayvic Cristian Jimenez [ctb], Jiqi Liu [ctb], Alan J. Curran [ctb], Justin S. Fada [ctb], Xuan Ma [ctb], Jennifer L. Braid [ctb], Jennifer L. W. Carter [ctb], Laura S. Bruckman [aut, cre], Roger H. French [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 |
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 |
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