smile
Spatial Misalignment: Interpolation, Linkage, and Estimation
Provides functions to estimate, predict and interpolate areal data. For estimation and prediction we assume areal data is an average of an underlying continuous spatial process as in Moraga et al. (2017) <doi:10.1016/j.spasta.2017.04.006>, Johnson et al. (2020) <doi:10.1186/s12942-020-00200-w>, and Wilson and Wakefield (2020) <doi:10.1093/biostatistics/kxy041>. The interpolation methodology is (mostly) based on Goodchild and Lam (1980, ISSN:01652273).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.0 |
rolling linux/jammy R-4.5 | smile_1.1.0.tar.gz |
3.8 MiB |
1.1.0 |
rolling linux/noble R-4.5 | smile_1.1.0.tar.gz |
3.8 MiB |
1.1.0 |
rolling source/ R- | smile_1.1.0.tar.gz |
3.0 MiB |
1.1.0 |
latest linux/jammy R-4.5 | smile_1.1.0.tar.gz |
3.8 MiB |
1.1.0 |
latest linux/noble R-4.5 | smile_1.1.0.tar.gz |
3.8 MiB |
1.1.0 |
latest source/ R- | smile_1.1.0.tar.gz |
3.0 MiB |
1.1.0 |
2026-04-26 source/ R- | smile_1.1.0.tar.gz |
3.0 MiB |
1.1.0 |
2026-04-23 source/ R- | smile_1.1.0.tar.gz |
3.0 MiB |
1.1.0 |
2026-04-09 windows/windows R-4.5 | smile_1.1.0.zip |
4.1 MiB |
1.0.5 |
2025-04-20 source/ R- | smile_1.0.5.tar.gz |
3.0 MiB |