Pairs plot of parameters of interest and fitting diagnostics — plot_pairs • forecast.vocs

Pairs plot of parameters of interest and fitting diagnostics

Usage

plot_pairs(
  fit,
  pars = c("r_init", "r_scale", "beta", "voc_beta", "voc_scale[1]", "init_cases[1]",
    "init_cases[2]", "eta[1]", "voc_eta[1]", "sqrt_phi[1]", "sqrt_phi[2]", "sqrt_phi"),
  diagnostics = TRUE,
  ...
)

Arguments

fit: List of output as returned by fv_sample().
pars: Character vector of parameters to try and include in the plot. Will only be included if present in the fitted model.
diagnostics: Logical, defaults to TRUE. Should fitting diagnostics be returned as a data.frame.
...: Additional parameters passed to bayesplot::mcmc_pairs().

Value

A ggplot2 based pairs plot of parameters of interest

See also

Plotting functions add_forecast_dates(), plot.fv_forecast(), plot.fv_posterior(), plot_cases(), plot_default(), plot_growth(), plot_posterior(), plot_rt(), plot_theme(), plot_voc_advantage(), plot_voc_frac(), save_plots()

Functions to explore and validate models bp_launch_shinystan(), fv_score_forecast()

Examples

if (FALSE) { # interactive()
obs <- filter_by_availability(
  germany_covid19_delta_obs,
  date = as.Date("2021-06-12"),
)
dt <- fv_as_data_list(obs)
inits <- fv_inits(dt)
fit <- fv_sample(dt, init = inits, adapt_voc = 0.99, max_treedepth = 15)
plot_pairs(fit)
}