Package: sesem
Type: Package
Title: Spatially Explicit Structural Equation Modeling
Version: 1.0.2
Date: 2016-06-09
Authors@R: c(person("Eric", "Lamb", role = c("aut", "cre"),email =
    "eric.lamb@usask.ca"),person("Kerrie", "Mengersen", role =
    "aut"),person("Katherine", "Stewart", role = "aut"),person("Udayanga",
    "Attanayake", role = "aut"),person("Steven", "Siciliano", role = "aut"))
Maintainer: Eric Lamb <eric.lamb@usask.ca>
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.
Depends: R (>= 1.8.0)
Imports: lavaan, mgcv, gplots
License: GPL (>= 2)
URL: http://www.r-project.org,
        http://homepage.usask.ca/~egl388/index.html
LazyData: yes
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-10 17:29:33 UTC; Eric Lamb
Author: Eric Lamb [aut, cre],
  Kerrie Mengersen [aut],
  Katherine Stewart [aut],
  Udayanga Attanayake [aut],
  Steven Siciliano [aut]
Repository: CRAN
Date/Publication: 2016-06-10 23:12:40
Built: R 4.1.3; ; 2023-04-17 16:00:56 UTC; windows
