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) .


Reference manual

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0.5.1 by Wei-Heng Huang, 3 years ago

Browse source code at

Authors: Wei-Heng Huang [aut, cre] , Nicholas Wheeler [aut] , Addison Klinke [aut] , Yifan Xu [aut] , Wenyu Du [aut] , Amit K. Verma [aut] , Abdulkerim Gok [aut] , Devin Gordon [ctb] , Yu Wang [ctb] , Jiqi Liu [ctb] , Alan Curran [ctb] , Justin Fada [ctb] , Xuan Ma [ctb] , Jennifer Braid [ctb] , Jennifer Carter [ctb] , Laura Bruckman [aut] , Roger French [aut, cph]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports DiagrammeR, DiagrammeRsvg, htmlwidgets, knitr, magrittr, MASS, rsvg, svglite, png, segmented, gtools

Suggests rmarkdown, testthat

See at CRAN