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 work was funded under U. S. Dept. of Energy, Prime Award No. DE-E-0004946, Award Agreement No. 60220829-51077-T. [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: 0.5.0
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
Published: 2018-06-12
Author: Wei-Heng Huang ORCID iD [aut, cre], Nicholas Wheeler ORCID iD [aut], Addison Klinke ORCID iD [aut], Yifan Xu ORCID iD [aut], Wenyu Du ORCID iD [aut], Abdulkerim Gok ORCID iD [aut], Devin Gordon ORCID iD [ctb], Yu Wang ORCID iD [ctb], Jiqi Liu ORCID iD [ctb], Alan Curran ORCID iD [ctb], Justin Fada ORCID iD [ctb], Xuan Ma ORCID iD [ctb], Jennifer Braid ORCID iD [ctb], Laura Bruckman ORCID iD [aut], Roger French ORCID iD [aut, cph]
Maintainer: Wei-Heng Huang <wxh272 at case.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: netSEM results

Downloads:

Reference manual: netSEM.pdf
Vignettes: Backsheet
Cracking
IV features
Introduction of netSEM
PET
Package source: netSEM_0.5.0.tar.gz
Windows binaries: r-devel: netSEM_0.5.0.zip, r-release: netSEM_0.5.0.zip, r-oldrel: netSEM_0.5.0.zip
OS X binaries: r-release: netSEM_0.5.0.tgz, r-oldrel: netSEM_0.5.0.tgz

Linking:

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