Plot the simulated "true" values versus posterior estimates

plot_sim_estimated(
  x,
  variables = NULL,
  estimate = "mean",
  uncertainty = c("q5", "q95"),
  alpha = NULL,
  ...,
  parameters = NULL
)

# S3 method for data.frame
plot_sim_estimated(
  x,
  variables = NULL,
  estimate = "mean",
  uncertainty = c("q5", "q95"),
  alpha = NULL,
  show_hidden = FALSE,
  parameters = 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
estimate: which estimate to use for the central tendency, must correspond a field already computed in the results (most likely "mean" and "median").
uncertainty: which estimates to use for uncertainty (a character vector of length 2) must correspond a field already computed in the results. Pass NULL to avoid showing uncertainty at all.
alpha: the alpha for the points and uncertainty intervals
parameters: DEPRECATED, use variables instead
show_hidden: Show variables marked with hidden_var_attribute() (by default, those are not shown, available only when x is a data.frame)

Value

a ggplot2 plot object