c(person("Wei-Heng", "Huang", email="wxh272@case.edu",
role=c("aut","cre"), comment = c(ORCID = "0000-0002-6609-4981")),
person("Nicholas", "Wheeler", email="nrw16@case.edu",
role=c("aut"), comment = c(ORCID = "0000-0003-2248-8919")),
person("Addison", "Klinke", email="agk38@case.edu",
role=c("aut"), comment = c(ORCID = "0000-0002-6985-7657")),
person("Yifan", "Xu", email="yifan.xu@case.edu",
role=c("aut"), comment = c(ORCID = "0000-0003-1696-0228")),
person("Wenyu", "Du", email="wxd97@case.edu",
role=c("aut"), comment = c(ORCID = "0000-0002-8672-9104")),
person("Amit K.", "Verma", email="aak126@case.edu",
role=c("aut"), comment = c(ORCID = "0000-0003-1580-3001")),
person("Abdulkerim", "Gok", email="axg515@case.edu",
role=c("aut"), comment = c(ORCID = "0000-0003-3433-7106")),
person("Devin", "Gordon", email="dag109@case.edu",
role=c("ctb"), comment = c(ORCID = "0000-0002-5919-0422")),
person("Yu", "Wang", email="yxw880@case.edu",
role=c("ctb"), comment = c(ORCID = "0000-0003-1353-2578")),
person("Jiqi", "Liu", email="jxl1763@case.edu",
role=c("ctb"), comment = c(ORCID = "0000-0003-2016-4160")),
person("Alan", "Curran", email="ajc269@case.edu",
role=c("ctb"), comment = c(ORCID = "0000-0002-4505-8359")),
person("Justin", "Fada", email="jxf77@case.edu",
role=c("ctb"), comment = c(ORCID = "0000-0002-0029-5051")),
person("Xuan", "Ma", email="xxm115@case.edu",
role=c("ctb"), comment = c(ORCID = "0000-0003-2361-2846")),
person("Jennifer", "Braid", email="jlb269@case.edu",
role=c("ctb"), comment = c(ORCID = "0000-0002-0677-7756")),
person("Jennifer", "Carter", email="jwc137@case.edu",
role=c("ctb"), comment = c(ORCID = "0000-0001-6702-729X")),
person("Laura", "Bruckman", email="lsh41@case.edu",
role=c("aut"), comment = c(ORCID = "0000-0003-1271-1072")),
person("Roger", "French", email="rxf131@case.edu",
role=c("aut","cph"), comment = c(ORCID = "0000-0002-6162-0532")) )

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. Department of
Energy Office of Energy, Efficiency and Renewable Energy (EERE) under
Solar Energy Technologies Office (SETO) Agreement Number DE-EE0007140.
[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>.