Package: netSEM 0.6.2

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>.

Authors: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]