The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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.

Version: 1.0.2
Depends: R (≥ 1.8.0)
Imports: lavaan, mgcv, gplots
Published: 2016-06-10
DOI: 10.32614/CRAN.package.sesem
Author: Eric Lamb [aut, cre], Kerrie Mengersen [aut], Katherine Stewart [aut], Udayanga Attanayake [aut], Steven Siciliano [aut]
Maintainer: Eric Lamb <eric.lamb at usask.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.r-project.org, http://homepage.usask.ca/~egl388/index.html
NeedsCompilation: no
Citation: sesem citation info
Materials: NEWS
CRAN checks: sesem results

Documentation:

Reference manual: sesem.pdf

Downloads:

Package source: sesem_1.0.2.tar.gz
Windows binaries: r-devel: sesem_1.0.2.zip, r-release: sesem_1.0.2.zip, r-oldrel: sesem_1.0.2.zip
macOS binaries: r-release (arm64): sesem_1.0.2.tgz, r-oldrel (arm64): sesem_1.0.2.tgz, r-release (x86_64): sesem_1.0.2.tgz, r-oldrel (x86_64): sesem_1.0.2.tgz
Old sources: sesem archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sesem to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.