Plot the observed coverage and its uncertainty.

plot_coverage will plot the observed coverage, while plot_coverage_diff will show the difference between observed and expected coverage. Please refer to empirical_coverage() for details on computation and limitations of this plot as well as details on the arguments. See vignette("rank_visualizations") for more details.

plot_coverage(
  x,
  variables = NULL,
  prob = 0.95,
  interval_type = "central",
  parameters = NULL,
  max_points = NULL
)

plot_coverage_diff(
  x,
  variables = NULL,
  prob = 0.95,
  interval_type = "central",
  parameters = NULL,
  max_points = NULL
)

Arguments

x

object containing results (a data.frame or SBC_results() object).

variables

variables to show in the plot or NULL to show all

prob

the with of the uncertainty interval to be shown

parameters

DEPRECATED. Use variables instead.

max_points

maximum number of points where to evaluate the coverage. If set to NULL, coverage is evaluated across the whole range of ranks. Setting to some smaller number may reduce memory footprint and increase speed.

Value

a ggplot2 plot object

See also

empirical_coverage