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Automatic disaggregation of small-area population estimates by demographic groups (e.g., age, sex, race, marital status, educational level, etc) along with the estimates of uncertainty, using advanced Bayesian statistical modelling approaches based on integrated nested Laplace approximation (INLA) Rue et al. (2009) <doi:10.1111/j.1467-9868.2008.00700.x> and stochastic partial differential equation (SPDE) methods Lindgren et al. (2011) <doi:10.1111/j.1467-9868.2011.00777.x>. The package implements hierarchical Bayesian modeling frameworks for small area estimation as described in Leasure et al. (2020) <doi:10.1073/pnas.1913050117> and Nnanatu et al. (2025) <doi:10.1038/s41467-025-59862-4>.
| Version: | 0.6.5 |
| Depends: | R (≥ 4.1.0) |
| Imports: | terra, raster, ggplot2, dplyr, tidyr, sf, ggpubr, reshape2, utils |
| Suggests: | INLA, withr, testthat (≥ 3.0.0) |
| Published: | 2025-12-16 |
| DOI: | 10.32614/CRAN.package.jollofR |
| Author: | Chibuzor Christopher Nnanatu
|
| Maintainer: | Chibuzor Christopher Nnanatu <cc.nnanatu at soton.ac.uk> |
| BugReports: | https://github.com/wpgp/jollofR/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/wpgp/jollofR/, https://wpgp.github.io/jollofR/ |
| NeedsCompilation: | no |
| Additional_repositories: | https://inla.r-inla-download.org/R/stable/ |
| Language: | en-US |
| Materials: | README, NEWS |
| CRAN checks: | jollofR results |
| Reference manual: | jollofR.html , jollofR.pdf |
| Package source: | jollofR_0.6.5.tar.gz |
| Windows binaries: | r-devel: jollofR_0.6.5.zip, r-release: jollofR_0.6.5.zip, r-oldrel: jollofR_0.6.5.zip |
| macOS binaries: | r-release (arm64): jollofR_0.6.5.tgz, r-oldrel (arm64): jollofR_0.6.5.tgz, r-release (x86_64): jollofR_0.6.5.tgz, r-oldrel (x86_64): jollofR_0.6.5.tgz |
| Old sources: | jollofR archive |
Please use the canonical form https://CRAN.R-project.org/package=jollofR to link to this page.
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.