analyses/model-evaluation.R

library(forecast.vocs)
options(mc.cores = 4)

strains <- 2
dt <- stan_data(latest_obs(germany_obs),
  horizon = 4, overdispersion = TRUE,
  variant_relationship = "independent"
)
mod <- load_model(strains = strains)
inits <- stan_inits(dt, strains = strains)
fit <- stan_fit(dt,
  model = mod, init = inits, adapt_delta = 0.99,
  max_treedepth = 15, save_warmup = TRUE
)

p <- summarise_posterior(fit)
plot_rt(p)
plot_cases(p, latest_obs(germany_obs), log = TRUE)

plot_pairs(fit)

bp_launch_shinystan(fit)
epiforecasts/evaluate-delta-for-forecasting documentation built on Dec. 20, 2021, 5:24 a.m.