Hi Jerry,
In the plot functions, the rxx plot is just understood as $F(\theta) / (
F(\theta) + VAR(\theta)) $, where
F(θ) is the Fisher information and
VAR(θ) is the variance defined/estimated by the model (for most IRT models in mirt, this variance is fixed at 1 for identification). The interpretation is that some levels of
θ are measured better, and so the proportion of variation between the individuals (the VAR component) explains less variability than the Fisher information measurement component. HTH.