epidemia swMATH ID: 42859 Software Authors: James A. Scott, Axel Gandy, Swapnil Mishra, Samir Bhatt, Seth Flaxman, H. Juliette T. Unwin, Jonathan Ish-Horowicz Description: R package epidemia: Modeling of Epidemics using Hierarchical Bayesian Models. 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. Homepage: https://cran.rstudio.com/web/packages/epidemia/index.html Source Code: https://github.com/cran/epidemia Dependencies: R Keywords: R package; R; epidemia; arXiv_stat.CO; arXiv_stat.ME; Modeling of Epidemics; Hierarchical Bayesian Models; epidemiology; infectious diseases; hierarchical models; hawkes processes; bayesian Related Software: Stan; R0; rstan; EpiEstim; Surveillance; tscount; acp; EpiModel; epinet; amei; RladyBug; rstanarm; R Cited in: 1 Publication Standard Articles 1 Publication describing the Software Year Epidemia: An R Package for Semi-Mechanistic Bayesian Modelling of Infectious Diseases using Point Processes James A. Scott, Axel Gandy, Swapnil Mishra, Samir Bhatt, Seth Flaxman, H. Juliette T. Unwin, Jonathan Ish-Horowicz 2021 Cited by 4 Authors 1 Bonvini, Matteo 1 Kennedy, Edward H. 1 Ventura, ValĂ©rie 1 Wasserman, Larry Alan Cited in 1 Serial 1 The Annals of Applied Statistics Cited in 1 Field 1 Statistics (62-XX) Citations by Year