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).
| Version: | 1.0.5 |
| Depends: | R (≥ 4.0) |
| Imports: | numDeriv, Rcpp, sf, mvtnorm, stats, parallel, Matrix |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, rmarkdown, ggplot2, graphics, spelling |
| Published: | 2024-06-14 |
| DOI: | 10.32614/CRAN.package.smile |
| Author: | Lucas da Cunha Godoy
 [aut, cre] |
| Maintainer: | Lucas da Cunha Godoy <lcgodoy at duck.com> |
| BugReports: | https://github.com/lcgodoy/smile/issues/ |
| License: | GPL-3 |
| URL: | https://lcgodoy.me/smile/, https://github.com/lcgodoy/smile/ |
| NeedsCompilation: | yes |
| SystemRequirements: | GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>= 4.8.0) |
| Language: | en-US |
| Materials: | README NEWS |
| CRAN checks: | smile results |
Documentation:
| Reference manual: | smile.pdf |
| Vignettes: |
2. Fitting models and making predictions 3. Areal Interpolation 1. Converting sf objects to spm 5. Spatial covariance functions 4. Method |
Downloads:
| Package source: | smile_1.0.5.tar.gz |
| Windows binaries: | r-devel: smile_1.0.5.zip, r-release: not available, r-oldrel: smile_1.0.5.zip |
| macOS binaries: | r-release (arm64): smile_1.0.5.tgz, r-oldrel (arm64): smile_1.0.5.tgz, r-release (x86_64): smile_1.0.5.tgz, r-oldrel (x86_64): smile_1.0.5.tgz |
| Old sources: | smile archive |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=smile to link to this page.