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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.
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Package details |
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| Author | Eric Lamb [aut, cre], Kerrie Mengersen [aut], Katherine Stewart [aut], Udayanga Attanayake [aut], Steven Siciliano [aut] |
| Maintainer | Eric Lamb <eric.lamb@usask.ca> |
| License | GPL (>= 2) |
| Version | 1.0.2 |
| URL | http://www.r-project.org http://homepage.usask.ca/~egl388/index.html |
| Package repository | View on CRAN |
| Installation |
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