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Provides functions for both likelihood-based and Bayesian analysis of spatially referenced prevalence data. For a tutorial on the use of the R package, see Giorgi and Diggle (2017) <doi:10.18637/jss.v078.i08>.
| Version: | 1.5.4 |
| Depends: | maxLik, raster, pdist, Matrix |
| Imports: | splancs, lme4, truncnorm, methods, numDeriv |
| Suggests: | geoR, R.rsp, INLA, knitr, rmarkdown |
| Published: | 2021-10-07 |
| DOI: | 10.32614/CRAN.package.PrevMap |
| Author: | Emanuele Giorgi, Peter J. Diggle |
| Maintainer: | Emanuele Giorgi <e.giorgi at lancaster.ac.uk> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Additional_repositories: | https://inla.r-inla-download.org/R/testing/ |
| Citation: | PrevMap citation info |
| CRAN checks: | PrevMap results |
| Reference manual: | PrevMap.pdf |
| Package source: | PrevMap_1.5.4.tar.gz |
| Windows binaries: | r-devel: PrevMap_1.5.4.zip, r-release: PrevMap_1.5.4.zip, r-oldrel: PrevMap_1.5.4.zip |
| macOS binaries: | r-release (arm64): PrevMap_1.5.4.tgz, r-oldrel (arm64): PrevMap_1.5.4.tgz, r-release (x86_64): PrevMap_1.5.4.tgz, r-oldrel (x86_64): PrevMap_1.5.4.tgz |
| Old sources: | PrevMap 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.