Package: SAGM 1.0.0

Sjoerd Hermes

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.

Authors:Sjoerd Hermes [aut, cre], Joost van Heerwaarden [ctb], Pariya Behrouzi [ctb]

SAGM_1.0.0.tar.gz
SAGM_1.0.0.tar.gz(r-4.5-noble)SAGM_1.0.0.tar.gz(r-4.4-noble)
SAGM_1.0.0.tgz(r-4.4-emscripten)SAGM_1.0.0.tgz(r-4.3-emscripten)
SAGM.pdf |SAGM.html
SAGM/json (API)

# Install 'SAGM' in R:
install.packages('SAGM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2 exports 0.00 score 3 dependencies 159 downloads

Last updated 7 months agofrom:47f2085e78. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 04 2024
R-4.5-linuxOKSep 04 2024

Exports:make_weightsSAGM

Dependencies:fastmatrixGIGrvgmvtnorm