plot_intervals_norm: Plot intervals as curved (normal distribution) areas
In jimvine/confinterpret: Descriptive Interpretations of Confidence Intervals

Plot intervals as curved (normal distribution) areas

plot_intervals_norm(intervals, estimates = NULL, y_scale = 1,
  interval_value_labels = FALSE, estimate_value_labels = FALSE,
  interval_labels_offset = c(0, 0, 0.15, 0.15),
  estimate_labels_offset = c(0, 0.5 * y_scale), plot_estimate_marks = FALSE,
  estimate_mark_points = c(1.2 * graphics::strheight("M"), 0.05, -1.2 *
  graphics::strheight("M"), -0.05), ...)

`intervals`	The interval(s) to be plotted. Two column matrix.
`estimates`	Estimates for each of the intervals (optional).
`y_scale`	How tall the interval plots are to be drawn
`interval_value_labels`	Logical value specifying whether interval value labels are to be added.
`estimate_value_labels`	Logical value specifying whether estimate value labels are to be added.
`interval_labels_offset`	Amount to offset interval labels by from the centre of the end of the interval's plot. `c(x1, x2, y1, y2)`.
`estimate_labels_offset`	Amount to offset estimate labels by. `c(x, y)`. Normally want the estimate to be x-located at its value, but may want a y-offset to move it above or below the plot shape that represents the interval.
`plot_estimate_marks`	Whether to plot marks at the x location of the estimates.
`estimate_mark_points`	y positions of the ends of the estimate marks as a numeric vector of length 4. Values are, in order: start (relative to centre), end (relative to box top), start (relative to centre), end (relative to box bottom).
`...`	Further parameters to be passed on.