Plot posterior predictions
Usage
plot_posterior(
posterior,
obs = NULL,
forecast_dates = NULL,
central = FALSE,
all_obs = FALSE,
voc_label = "variant of concern"
)
Arguments
- posterior
A dataframe of posterior output as produced by
fv_tidy_posterior()
. For forecast dates to be extracted data withvalue_type == "cases"
must be present.- obs
A data frame of observed data as produced by
latest_obs()
.- forecast_dates
A data.frame in the format produced by
extract_forecast_dates()
(with at least a date variable and a Data unavailable variable)). Specifies when date availability should be add to plots. May contain faceting variables.- central
Logical, defaults to FALSE. Should the mean and median central estimates be plot as dashed and solid lines respectively. Requires
mean
andmedian
variables to be present in the input.- all_obs
Logical, defaults to
FALSE
. Should all observations be plot or just those in the date range of the estimates being plot.- voc_label
Character string giving the name to assign to the variant of concern. Defaults to "variant of concern".
See also
Plotting functions
add_forecast_dates()
,
plot.fv_forecast()
,
plot.fv_posterior()
,
plot_cases()
,
plot_default()
,
plot_growth()
,
plot_pairs()
,
plot_rt()
,
plot_theme()
,
plot_voc_advantage()
,
plot_voc_frac()
,
save_plots()
Examples
posterior <- fv_example(strains = 2, type = "posterior")
plot_posterior(posterior)
#> $cases
#>
#> $log_cases
#>
#> $voc_frac
#>
#> $voc_advantage
#>
#> $growth
#>
#> $rt
#>