sesem: Spatially Explicit Structural Equation Modeling

Structural equation modeling is a powerful statistical approach for the testing of networks of direct and indirect theoretical causal relationships in complex data sets with inter-correlated dependent and independent variables. Here we implement a simple method for spatially explicit structural equation modeling based on the analysis of variance co-variance matrices calculated across a range of lag distances. This method provides readily interpreted plots of the change in path coefficients across scale.

Install the latest version of this package by entering the following in R:
install.packages("sesem")
AuthorEric Lamb [aut, cre], Kerrie Mengersen [aut], Katherine Stewart [aut], Udayanga Attanayake [aut], Steven Siciliano [aut]
Date of publication2016-06-10 23:12:40
MaintainerEric Lamb <eric.lamb@usask.ca>
LicenseGPL (>= 2)
Version1.0.2
http://www.r-project.org, http://homepage.usask.ca/~egl388/index.html

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