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GHRmodel  

Bayesian Hierarchical Modelling of Spatio-Temporal Health Data
View on CRAN: Click here


Download and install GHRmodel package within the R console
Install from CRAN:
install.packages("GHRmodel")

Install from Github:
library("remotes")
install_github("cran/GHRmodel")

Install by package version:
library("remotes")
install_version("GHRmodel", "0.1.1")



Attach the package and use:
library("GHRmodel")
Maintained by
Carles Milà
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-10-21
Latest Update: 2025-10-21
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 andpredictors 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>.
How to cite:
Carles Milà (2025). GHRmodel: Bayesian Hierarchical Modelling of Spatio-Temporal Health Data. R package version 0.1.1, https://cran.r-project.org/web/packages/GHRmodel. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.1.0 (2025-10-21 20:10)
Other packages that cited GHRmodel R package
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Complete documentation for GHRmodel
Functions, R codes and Examples using the GHRmodel R package
Full GHRmodel package functions and examples
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