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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "GHRmodel" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'GHRmodel: Bayesian Hierarchical Modelling of Spatio-Temporal Health Data'
version: 0.1.1
doi: 10.32614/CRAN.package.GHRmodel
identifiers:
- type: url
  value: https://bsc-es.github.io/GHRtools/docs/GHRmodel/GHRmodel
abstract: 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) <https://doi.org/10.1016/S2542-5196(20)30292-8>.
authors:
- family-names: Milà
  given-names: Carles
  email: carles.milagarcia@bsc.es
  orcid: https://orcid.org/0000-0003-0470-0760
- family-names: Moirano
  given-names: Giovenale
  orcid: https://orcid.org/0000-0001-8748-3321
- family-names: Kawiecki
  given-names: Anna B.
  orcid: https://orcid.org/0000-0002-0499-2612
- family-names: Lowe
  given-names: Rachel
  orcid: https://orcid.org/0000-0003-3939-7343
repository: https://cran.r-universe.dev
commit: d994990ac7c1d05cb9626e666f6fcb75605392de
url: https://gitlab.earth.bsc.es/ghr/ghrmodel
date-released: '2025-11-07'
contact:
- family-names: Milà
  given-names: Carles
  email: carles.milagarcia@bsc.es
  orcid: https://orcid.org/0000-0003-0470-0760