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Display assessment indices without refitting or recalculating predictions.

Usage

plot_index(
  x,
  show_probs = TRUE,
  ...,
  type = c("index", "correlation", "covariance"),
  scale = c("log", "response")
)

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

# S3 method for class 'influ_index'
autoplot(object, ...)

Arguments

x, object

An influ_index object.

show_probs

Show the stored pointwise uncertainty interval.

...

Reserved for future use; unused.

type

"index" (default), "correlation", or "covariance". The latter two display the stored annual uncertainty matrix as a heatmap.

scale

For matrix displays, "log" (default) or "response".

Value

A ggplot object.

Details

Annual trajectories and uncertainty ribbons retain gaps in calendar years and consistently formatted fishing years. Missing interval bounds interrupt the ribbon without removing a finite point estimate. Stored summaries are not interpolated, rescaled, or recalculated.