Plots histograms of the posterior-means of individual MPT parameters against the group-level distribution given by the posterior-mean of the hierarchical parameters (e.g., the beta distribution in case of the beta-MPT)
plotDistribution(fittedModel, scale = "probability", ...)fitted latent-trait or beta MPT model
(traitMPT, betaMPT)
only for latent-trait MPT: should estimates be plotted on the
"latent" or the "probability" scale (i.e., as MPT
parameters). Can be abbreviated by "l" and "p".
further arguments passed to hist (e.g.,
breaks=50 to get a more fine-grained histogram)
For the latent-trait MPT, differences due to continuous predictors or discrete factors are currently not considered in the group-level predictions (red density). Under such a model, individual estimates are not predicted to be normally distributed on the latent scale as shown in the plot.
plot.traitMPT