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Functions to fit geostatistical data. The data can be continuous, binary or count data and the models implemented are flexible. Conjugate priors are assumed on some parameters while inference on the other parameters can be done through a full Bayesian analysis of by empirical Bayes methods.
| Version: | 0.7.4 |
| Depends: | R (≥ 3.0.0) |
| Imports: | coda, graphics, sp, stats, optimx |
| Published: | 2024-10-07 |
| DOI: | 10.32614/CRAN.package.geoBayes |
| Author: | Evangelos Evangelou [aut, cre], Vivekananda Roy [aut] |
| Maintainer: | Evangelos Evangelou <e.evangelou at maths.bath.ac.uk> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Classification/ACM: | 86A32, 62M30, 62F15 |
| Materials: | NEWS |
| CRAN checks: | geoBayes results |
| Reference manual: | geoBayes.pdf |
| Package source: | geoBayes_0.7.4.tar.gz |
| Windows binaries: | r-devel: geoBayes_0.7.4.zip, r-release: geoBayes_0.7.4.zip, r-oldrel: geoBayes_0.7.4.zip |
| macOS binaries: | r-release (arm64): geoBayes_0.7.4.tgz, r-oldrel (arm64): geoBayes_0.7.4.tgz, r-release (x86_64): geoBayes_0.7.4.tgz, r-oldrel (x86_64): geoBayes_0.7.4.tgz |
| Old sources: | geoBayes archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.