Modesto Escobar <modesto@usal.es>,
David Barrios <metal@usal.es>,
Carlos Prieto <cprietos@usal.es>,
Luis Martinez-Uribe <lmartinez@usal.es>.

Create interactive analytic networks. It joins the data analysis power of R to obtain coincidences, co-occurrences and correlations, and the visualization libraries of 'JavaScript' in one package.

Create interactive analytic networks. It joins the data analysis power of R to obtain coincidences, co-occurrences and correlations, and the visualization libraries of 'JavaScript' in one package. The methods are described in Escobar and Martinez-Uribe (2020) <doi:10.18637/jss.v093.i11>.

knitr, rmarkdown, lavaan, shiny, htmltools
c(
person("Modesto", "Escobar", email = "modesto@usal.es", role = c("cre", "aut", "cph"), comment = c(ORCID = "0000-0003-2072-6071")),
person("David", "Barrios", email = "metal@usal.es", role = "aut"),
person("Carlos", "Prieto", email = "cprietos@usal.es", role = "aut"),
person("Luis", "Martinez-Uribe", email = "lmartinez@usal.es", role = "aut", comment = c(ORCID = "0000-0002-7795-3972")),
person("Pablo", "Cabrera-Álvarez", email = "pablocal@usal.es", role = "aut")
)
Modesto Escobar [cre, aut, cph]
(<https://orcid.org/0000-0003-2072-6071>),
David Barrios [aut],
Carlos Prieto [aut],
Luis Martinez-Uribe [aut] (<https://orcid.org/0000-0002-7795-3972>),
Pablo Cabrera-Álvarez [aut]

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>.
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