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
DOI:	10.32614/CRAN.package.SAGM
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-devel: SAGM_1.0.0.zip, r-release: SAGM_1.0.0.zip, r-oldrel: SAGM_1.0.0.zip
macOS binaries:	r-release (arm64): SAGM_1.0.0.tgz, r-oldrel (arm64): SAGM_1.0.0.tgz, r-release (x86_64): SAGM_1.0.0.tgz, r-oldrel (x86_64): SAGM_1.0.0.tgz
Old sources:	SAGM archive

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