spmodel
Spatial Statistical Modeling and Prediction
Fit, summarize, and predict for a variety of spatial statistical models applied to point-referenced and areal (lattice) data. Parameters are estimated using various methods. Additional modeling features include anisotropy, non-spatial random effects, partition factors, big data approaches, and more. Model-fit statistics are used to summarize, visualize, and compare models. Predictions at unobserved locations are readily obtainable. For additional details, see Dumelle et al. (2023) <doi:10.1371/journal.pone.0282524>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.12.0 |
rolling linux/jammy R-4.5 | spmodel_0.12.0.tar.gz |
3.4 MiB |
0.12.0 |
rolling linux/noble R-4.5 | spmodel_0.12.0.tar.gz |
3.4 MiB |
0.12.0 |
rolling source/ R- | spmodel_0.12.0.tar.gz |
2.9 MiB |
0.12.0 |
latest linux/jammy R-4.5 | spmodel_0.12.0.tar.gz |
3.4 MiB |
0.12.0 |
latest linux/noble R-4.5 | spmodel_0.12.0.tar.gz |
3.4 MiB |
0.12.0 |
latest source/ R- | spmodel_0.12.0.tar.gz |
2.9 MiB |
0.12.0 |
2026-04-26 source/ R- | spmodel_0.12.0.tar.gz |
2.9 MiB |
0.12.0 |
2026-04-23 source/ R- | spmodel_0.12.0.tar.gz |
2.9 MiB |
0.12.0 |
2026-04-09 windows/windows R-4.5 | spmodel_0.12.0.zip |
3.4 MiB |
0.10.0 |
2025-04-20 source/ R- | spmodel_0.10.0.tar.gz |
2.8 MiB |