GHRmodel
0.1.1Bayesian Hierarchical Modelling of Spatio-Temporal Health Data
Overview
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.
Install
Health
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-03-1011 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Repository
Repository practices
Repository gitlab.earth.bsc.es/ghr/ghrmodel is linked, but repository-practices checks have not run for it yet. Checks are GitHub-only for now.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
2 releases. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.1Latest
- 0.1.02025-10-21
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-10-21
- Total releases
- 2 / 1 yrs
- License
- GPL (>= 2) OSI
- Download size
- 6.2 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet