spEDM
Spatial Empirical Dynamic Modeling
Inferring causation from spatial cross-sectional data through empirical dynamic modeling (EDM), with methodological extensions including geographical convergent cross mapping from Gao et al. (2023) <doi:10.1038/s41467-023-41619-6>, as well as the spatial causality test following the approach of Herrera et al. (2016) <doi:10.1111/pirs.12144>, together with geographical pattern causality proposed in Zhang & Wang (2025) <doi:10.1080/13658816.2025.2581207>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.12 |
rolling linux/jammy R-4.5 | spEDM_1.12.tar.gz |
2.4 MiB |
1.12 |
rolling linux/noble R-4.5 | spEDM_1.12.tar.gz |
2.4 MiB |
1.12 |
rolling source/ R- | spEDM_1.12.tar.gz |
2.0 MiB |
1.12 |
latest linux/jammy R-4.5 | spEDM_1.12.tar.gz |
2.4 MiB |
1.12 |
latest linux/noble R-4.5 | spEDM_1.12.tar.gz |
2.4 MiB |
1.12 |
latest source/ R- | spEDM_1.12.tar.gz |
2.0 MiB |
1.12 |
2026-04-26 source/ R- | spEDM_1.12.tar.gz |
2.0 MiB |
1.12 |
2026-04-23 source/ R- | spEDM_1.12.tar.gz |
2.0 MiB |
1.12 |
2026-04-09 windows/windows R-4.5 | spEDM_1.12.zip |
2.7 MiB |
1.5 |
2025-04-20 source/ R- | spEDM_1.5.tar.gz |
1.2 MiB |