Package: sesem
Type: Package
Title: Spatially explicit structural equation modeling
Version: 1.0.1
Date: 2014-03-04
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 (SEM) is a powerful statistical
    approach for the testing of networks of direct and indirect theoretical
    causal relationships in complex datasets with intercorrelated dependent and
    independent variables. Here we implement a simple method for spatially
    explicit SEM (SE-SEM) based on the analysis of variance covariance matrices
    calculated across a range of lag distances. This method provides readily
    interpretable 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
Packaged: 2014-03-04 17:14:32 UTC; Eric Lamb
Author: Eric Lamb [aut, cre],
  Kerrie Mengersen [aut],
  Katherine Stewart [aut],
  Udayanga Attanayake [aut],
  Steven Siciliano [aut]
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-03-04 20:48:07
Built: R 3.1.0; ; 2014-03-05 13:17:59 UTC; unix
