Package: GHRmodel Title: Bayesian Hierarchical Modelling of Spatio-Temporal Health Data Version: 0.1.1 Authors@R: c( person("Carles", "Milà", , "carles.milagarcia@bsc.es", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-0470-0760")), person("Giovenale", "Moirano", role = "aut", comment = c(ORCID = "0000-0001-8748-3321")), person("Anna B.", "Kawiecki", role = "aut", comment = c(ORCID = "0000-0002-0499-2612")), person("Rachel", "Lowe", role = "aut", comment = c(ORCID = "0000-0003-3939-7343"))) Description: 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) . License: GPL (>= 2) URL: https://gitlab.earth.bsc.es/ghr/ghrmodel, https://bsc-es.github.io/GHRtools/docs/GHRmodel/GHRmodel BugReports: https://gitlab.earth.bsc.es/ghr/ghrmodel/-/issues 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 Additional_repositories: https://inla.r-inla-download.org/R/stable Config/testthat/edition: 3 Encoding: UTF-8 LazyData: true VignetteBuilder: knitr RoxygenNote: 7.3.3 NeedsCompilation: no Packaged: 2026-07-05 06:55:16 UTC; root Author: Carles Milà [aut, cre] (ORCID: ), Giovenale Moirano [aut] (ORCID: ), Anna B. Kawiecki [aut] (ORCID: ), Rachel Lowe [aut] (ORCID: ) Maintainer: Carles Milà Repository: https://cran.r-universe.dev Date/Publication: 2025-11-07 16:41:19 UTC RemoteUrl: https://github.com/cran/GHRmodel RemoteRef: HEAD RemoteSha: d994990ac7c1d05cb9626e666f6fcb75605392de