GHRmodel: Bayesian Hierarchical Modelling of Spatio-Temporal Health Data

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:	0.1.0
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:	2025-10-21
DOI:	10.32614/CRAN.package.GHRmodel (may not be active yet)
Author:	Carles Milà [aut, cre], Giovenale Moirano [aut], Anna B. Kawiecki [aut], Rachel Lowe [aut]
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

Documentation:

Reference manual:	GHRmodel.html , GHRmodel.pdf
Vignettes:	GHRmodel_DLNM (source, R code) GHRmodel_covariates (source, R code) GHRmodel_overview (source, R code)

Downloads:

Package source:	GHRmodel_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): GHRmodel_0.1.0.tgz, r-oldrel (x86_64): GHRmodel_0.1.0.tgz

Linking:

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