Bernadette-package: Bayesian inference and model selection for stochastic...
In bernadette-eu/Bernadette: Bayesian Inference and Model Selection for Stochastic Epidemics
Bernadette-package R Documentation
Bayesian inference and model selection for stochastic epidemics
Description
Bernadette provides Bayesian analysis for stochastic extensions of dynamic non-linear systems using advanced computational algorithms.
References
Bouranis, L., Demiris, N. Kalogeropoulos, K. and Ntzoufras, I. (2022). Bayesian analysis of diffusion-driven multi-type epidemic models with application to COVID-19. arXiv: https://arxiv.org/abs/2211.15229
Stan Development Team (2020). RStan: the R interface to Stan. R package version 2.21.3. https://mc-stan.org
bernadette-eu/Bernadette documentation built on July 1, 2024, 9:58 p.m.
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| Bernadette-package | R Documentation |
Bayesian inference and model selection for stochastic epidemics
Description
Bernadette provides Bayesian analysis for stochastic extensions of dynamic non-linear systems using advanced computational algorithms.
References
Bouranis, L., Demiris, N. Kalogeropoulos, K. and Ntzoufras, I. (2022). Bayesian analysis of diffusion-driven multi-type epidemic models with application to COVID-19. arXiv: https://arxiv.org/abs/2211.15229
Stan Development Team (2020). RStan: the R interface to Stan. R package version 2.21.3. https://mc-stan.org
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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