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>.

Package details

AuthorWei-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] (<>), Leean Jo [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] (<>)
MaintainerLaura S. Bruckman <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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netSEM documentation built on Nov. 2, 2022, 5:12 p.m.