SAGM: Spatial Autoregressive Graphical Model

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.

Version: 1.0.0
Depends: R (≥ 3.10)
Imports: fastmatrix, GIGrvg, stats, utils, mvtnorm
Published: 2024-02-06
Author: Sjoerd Hermes [aut, cre], Joost van Heerwaarden [ctb], Pariya Behrouzi [ctb]
Maintainer: Sjoerd Hermes <sjoerd.hermes at wur.nl>
License: GPL-3
NeedsCompilation: no
CRAN checks: SAGM results

Documentation:

Reference manual: SAGM.pdf

Downloads:

Package source: SAGM_1.0.0.tar.gz
Windows binaries: r-prerel: SAGM_1.0.0.zip, r-release: SAGM_1.0.0.zip, r-oldrel: SAGM_1.0.0.zip
macOS binaries: r-prerel (arm64): SAGM_1.0.0.tgz, r-release (arm64): SAGM_1.0.0.tgz, r-oldrel (arm64): SAGM_1.0.0.tgz, r-prerel (x86_64): SAGM_1.0.0.tgz, r-release (x86_64): SAGM_1.0.0.tgz
Old sources: SAGM archive

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