Package: SAGM
Type: Package
Title: Spatial Autoregressive Graphical Model
Imports: fastmatrix, GIGrvg, stats, utils, mvtnorm
Authors@R: c(person(given = "Sjoerd",
           family = "Hermes",
           role = c("aut", "cre"),
           email = "sjoerd.hermes@wur.nl"), 
           person(given = "Joost", family = "van Heerwaarden", role = "ctb"),
           person(given = "Pariya", family = "Behrouzi", role = "ctb"))
Version: 1.0.0
Maintainer: Sjoerd Hermes <sjoerd.hermes@wur.nl>
Description: Implements the methodological developments found in
        Hermes, van Heerwaarden, and Behrouzi (2023)
        <doi:10.48550/arXiv.2308.04325>, and allows for the statistical
        modeling of asymmetric between-location effects, as well as
        within-location effects using spatial autoregressive graphical
        models. The package allows for the generation of spatial weight
        matrices to capture asymmetric effects for strip-type
        intercropping designs, although it can handle any type of
        spatial data commonly found in other sciences.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.10)
NeedsCompilation: no
Packaged: 2026-10-07 09:06:13 UTC; root
Author: Sjoerd Hermes [aut, cre], Joost van Heerwaarden [ctb], Pariya
        Behrouzi [ctb]
Repository: https://cran.r-universe.dev
Date/Publication: 2024-02-07 02:29:32 UTC
RemoteUrl: https://github.com/cran/SAGM
RemoteRef: HEAD
RemoteSha: 47f2085e787a68dd302902220fa3ba00f87e6ff5