epidemia
1.0.0Modeling of Epidemics using Hierarchical Bayesian Models
Overview
Flexibly specify and fit Bayesian statistical models for epidemics. 'epidemia' leverages Rs formula interface so that users can parameterize reproduction numbers and ascertainment rates in terms of predictors. Infections are propagated over time using self-exciting point processes. Multiple regions can be modeled simultaneously with multilevel models. The models and framework behind the package are described in Bhatt et al. (2021) arXiv:2012.00394. The design of the package has been inspired by, and has borrowed from, 'rstanarm' (Goodrich et al., 2020) https://mc-stan.org/rstanarm/. 'rstan' (Stan Development Team, 2020) https://mc-stan.org/ is used as the back end for fitting models.
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- Examples that run
- 33%
- Documented parameters
- 95%
- Return-value docs
- 97%
- References docs
- 13%
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1 release. R releases are shown for context.
- RR 4.3.0 released · 2023-04-21
- archivedRemoved from CRAN2022-10-26issues were not corrected in time
- RR 4.2.0 released · 2022-04-22
- 1.0.02021-10-25
- RR 4.1.0 released · 2021-05-18
Package metadata
- Total releases
- 1
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 22 KB / 3 files
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