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sesem  

Spatially Explicit Structural Equation Modeling
View on CRAN: Click here


Download and install sesem package within the R console
Install from CRAN:
install.packages("sesem")

Install from Github:
library("remotes")
install_github("cran/sesem")

Install by package version:
library("remotes")
install_version("sesem", "1.0.2")



Attach the package and use:
library("sesem")
Maintained by
Eric Lamb
[Scholar Profile | Author Map]
First Published: 2014-02-06
Latest Update: 2016-06-10
Description:
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.
How to cite:
Eric Lamb (2014). sesem: Spatially Explicit Structural Equation Modeling. R package version 1.0.2, https://cran.r-project.org/web/packages/sesem. Accessed 01 Apr. 2025.
Previous versions and publish date:
1.0.1 (2014-03-04 20:48), 1.0 (2014-02-06 01:35)
Other packages that cited sesem R package
View sesem citation profile
Other R packages that sesem depends, imports, suggests or enhances
Complete documentation for sesem
Functions, R codes and Examples using the sesem R package
Some associated functions: alexfiord . avg.modindices . bin.results . bin.rsquare . calc.dist . gam.path . make.bin . make.covar . modelsummary . plantcomp . plotbin . plotmodelfit . plotpath . runModels . sesem-package . truelove . truelove_covar . truelove_results . 
Some associated R codes: Full sesem package functions and examples
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