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.
- Version1.0.2
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- sesem citation info
- Last release06/10/2016
Documentation
Team
Eric Lamb
Kerrie Mengersen
Katherine Stewart
Show author detailsRolesAuthorUdayanga Attanayake
Show author detailsRolesAuthorSteven Siciliano
Show author detailsRolesAuthor
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- Imports3 packages