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>.

Package details

AuthorWei-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] (<>)
MaintainerWei-Heng Huang <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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netSEM documentation built on May 2, 2019, 6:32 a.m.