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scoringRules (version 0.9.2)

plot.casestudy: Plot the output of run_casestudy

Description

Plot the output of run_casestudy

Usage

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

Arguments

x

Object of class casestudy, generated by run_casestudy

...

Additional parameters, see details below.

Value

none, used for the effect of drawing a plot.

Details

The plot is in the same format as Figure 5 in KLTG (2016). 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:

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

References

Krueger, F., S. Lerch, T.L. Thorarinsdottir and T. Gneiting (2016), `Probabilistic forecasting and comparative model assessment based on Markov Chain Monte Carlo output', working paper, Heidelberg Institute for Theoretical Studies, available at http://arxiv.org/abs/1608.06802.

See Also

run_casestudy produces the forecast results summarized by plot.casestudy