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:
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')) |
- intercrop - Intercropping data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 10 months agofrom:47f2085e78. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 03 2024 |
| R-4.5-linux | OK | Dec 03 2024 |
Exports:make_weightsSAGM
Dependencies:fastmatrixGIGrvgmvtnorm
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Intercropping data | intercrop |
| make_weights | make_weights |
| SAGM | SAGM |