plot.casestudy {scoringRules}

Plot the output of run_casestudy

Description

Plot the output of run_casestudy

Usage

## S3 method for class 'casestudy'
plot(x, ...)

Arguments

x

object of class casestudy, generated by run_casestudy

...

additional parameters, see details below.

Details

The plot is in the same format as Figure 3 in KLTG (2021). Its content (nr of MCMC chains, maximal sample size, etc) depends on the parameters used to generate run_casestudy. In terms of additional inputs (...), the following are currently implemented:

• scoring_rule, the scoring rule for which results are to be plotted, either "crps" or "logs". Defaults to "crps".

• add_main_title, logical, whether to add main title to plot. Defaults to TRUE.

Value

none, used for the effect of drawing a plot.

Author(s)

Fabian Krueger

References

Krueger, F., Lerch, S., Thorarinsdottir, T.L. and T. Gneiting (2021): ‘Predictive inference based on Markov chain Monte Carlo output’, International Statistical Review 89, 274-301. doi:10.1111/insr.12405

See Also

run_casestudy produces the forecast results summarized by plot.casestudy