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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 intercorrelated dependent and independent variables. Here we implement a simple method for spatially explicit structural equation modeling based on the analysis of variance covariance matrices calculated across a range of lag distances. This method provides readily interpreted plots of the change in path coefficients across scale.
Package details 


Author  Eric Lamb [aut, cre], Kerrie Mengersen [aut], Katherine Stewart [aut], Udayanga Attanayake [aut], Steven Siciliano [aut] 
Date of publication  20160610 23:12:40 
Maintainer  Eric Lamb <[email protected]> 
License  GPL (>= 2) 
Version  1.0.2 
URL  http://www.rproject.org http://homepage.usask.ca/~egl388/index.html 
Package repository  View on CRAN 
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