Plot Person Characteristic Curves using pairwise comparison data. Person Characteristic Curves (diagnostic plots) are analagous to Item Characteristic Curves in Item Response Theory. Observed proportions for a given number of class intervals are plotted against a theoretical probability curve using the Bradley-Terry-Luce model (Bradley & Terry, 1952; Luce, 1959).
# Install from GitHub
devtools::install_github("KenBredemeyer/PCCs")The PCCs package contains just one function, plot_PCCs, and uses a pairwise comparison data matrix of proportions, and location
estimates as arguments.
Using the built in data set as an example:
plot_PCCs(gtpa2018_proportions_dm, gtpa2018_locations,
class_intervals = 3,
performances = 21:22)Access documentation using
?plot_PCCs