plot_morbist: Plot the parameters characterizing the MORBIST model
In m-Py/DOTA2: Discrete option test analysis

Description Usage Arguments Value Author(s)

Plots decision variable distribution of targets and and lures (assuming a normal distribution of evidence) for a test-taker; can also illustrate a response criterion vector

plot_morbist(x, y, showCriterion = TRUE, labelCriterion = FALSE,
  distCritLabel = 0.425, cex.axis = 1, cex.label = 1, cex.crit = 1,
  cex.acc = 1, caption = "evidence strength", solutions = "solutions",
  distractors = "distractors", distLabelDistributions = 2.3,
  showAccuracy = TRUE, distAccLabel = 0.46)

`x`	An accuracy value (d')
`y`	The response criterion vector
`showCriterion`	Boolean. Should the criterion location be drawn?
`labelCriterion`	label response criterion with c; only has an effect if showCriterion is TRUE
`distCritLabel`	If the criterion label is displayed: how far top should it be (higher values move the label further away from the plot)
`cex.axis`	magnification of the decision variable axis (x-axis) values
`cex.label`	controls magnification of text size of x-axis label and "distractors" and "solutions" text
`cex.acc`	controls magnification the accuracy label
`caption`	label for decision variable axis (x-axis)
`solutions`	caption for solution distribution
`distractors`	caption for distractor distribution
`distLabelDistributions`	how away from the distribution plots should the labels for the distributions be (higher values move the label further away from the plot)
`showAccuracy`	Boolean - illustrate accuracy d'?
`distAccLabel`	If the accuracy value is displayed: how far top should it be (higher values move the label further away from the plot)
`cex.label`	controls magnification the text of the criterion labels