Supports modeling health outcomes using Bayesian hierarchical spatio-temporal models with complex covariate effects (e.g., linear, non-linear, interactions, distributed lag linear and non-linear models) in the 'INLA' framework. It is designed to help users identify key drivers and predictors of disease risk by enabling streamlined model exploration, comparison, and visualization of complex covariate effects. See an application of the modelling framework in Lowe, Lee, O'Reilly et al. (2021) <doi:10.1016/S2542-5196(20)30292-8>.
| Version: | 0.1.1 |
| Depends: | R (≥ 4.1.0) |
| Imports: | cowplot, dlnm, dplyr, ggplot2 (≥ 3.5.0), GHRexplore, rlang, scales, tidyr, tidyselect |
| Suggests: | INLA, sf, sn, RColorBrewer, colorspace, testthat (≥ 3.0.0), spdep, knitr, rmarkdown |
| Published: | 2025-11-07 |
| DOI: | 10.32614/CRAN.package.GHRmodel |
| Author: | Carles Milà |
| Maintainer: | Carles Milà <carles.milagarcia at bsc.es> |
| BugReports: | https://gitlab.earth.bsc.es/ghr/ghrmodel/-/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://gitlab.earth.bsc.es/ghr/ghrmodel, https://bsc-es.github.io/GHRtools/docs/GHRmodel/GHRmodel |
| NeedsCompilation: | no |
| Additional_repositories: | https://inla.r-inla-download.org/R/stable |
| Materials: | README, NEWS |
| CRAN checks: | GHRmodel results |
| Reference manual: | GHRmodel.html , GHRmodel.pdf |
| Vignettes: |
Distributed Lag Nonlinear Models in GHRmodel (source, R code) Complex Covariate Structures in GHRmodel (source, R code) GHRmodel overview (source, R code) |
| Package source: | GHRmodel_0.1.1.tar.gz |
| Windows binaries: | r-devel: GHRmodel_0.1.1.zip, r-release: GHRmodel_0.1.1.zip, r-oldrel: GHRmodel_0.1.1.zip |
| macOS binaries: | r-release (arm64): GHRmodel_0.1.1.tgz, r-oldrel (arm64): GHRmodel_0.1.1.tgz, r-release (x86_64): GHRmodel_0.1.1.tgz, r-oldrel (x86_64): GHRmodel_0.1.1.tgz |
| Old sources: | GHRmodel archive |
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