Selected article for: "SIR model and state space"
Author: Peter X Song; Lili Wang; Yiwang Zhou; Jie He; Bin Zhu; Fei Wang; Lu Tang; Marisa Eisenberg
Title: An epidemiological forecast model and software assessing interventions on COVID-19 epidemic in China
  • Document date: 2020_3_3
    • ID: m9icky9z_93
    Snippet: dic_val the output of dic.sample() in dic.sample, computing deviance information criterion for model comparison. change_time <-c("01/23/2020","02/04/2020","02/08/2020") phi0 <-c(0.1,0.4,0.4) res.q <-qh.eSIR (Y,R,begin_str="01/13/2020",death_in_R = 0.4, phi0=phi0,change_time=change_time, casename="Hubei_q",save_files = T,save_mcmc = F, M=5e2,nburnin = 2e2) res.q$plot_infection #res.q$plot_removed res.noq <-qh.eSIR (Y,R,begin_str="01/13/2020",death.....
    Document: dic_val the output of dic.sample() in dic.sample, computing deviance information criterion for model comparison. change_time <-c("01/23/2020","02/04/2020","02/08/2020") phi0 <-c(0.1,0.4,0.4) res.q <-qh.eSIR (Y,R,begin_str="01/13/2020",death_in_R = 0.4, phi0=phi0,change_time=change_time, casename="Hubei_q",save_files = T,save_mcmc = F, M=5e2,nburnin = 2e2) res.q$plot_infection #res.q$plot_removed res.noq <-qh.eSIR (Y,R,begin_str="01/13/2020",death_in_R = 0.4, T_fin=200,casename="Hubei_noq", M=5e2,nburnin = 2e2) res.noq$plot_infection tvt.eSIR Fit extended state-space SIR model with time-varying transmission rates

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