ItemResponsePlots.jl

This package provides plotting capabilities for item response models implementing the AbstractItemResponseModels.jl interface.

ItemResponsePlots.jl leverages the Makie.jl ecosystem, making it easy to extend basic figures and combine them in complex plots.

Installation

To install this package simply use julias package management system.

] add ItemResponsePlots

Getting started

After sucessfull installation you can start plotting results of your item response model. Prerequisite is a fitted ItemResponseModel, e.g. via RaschModels.jl.

using RaschModels

data = rand(0:1, 100, 5)
rasch = fit(RaschModel, data, CML())

Once the parameters are estimated, simply call your desired plotting function.

For example, item characteristic curves are implemented by the item_characteristic_curve function. To plot the item characteristic curve for the first item, call

item_characteristic_curve(rasch, 1)

All plotting functions in ItemResponsePlots.jl implement a variety of customization options. For details see the relevant plotting functions help page (e.g. ?item_characteristic_curve).

Available plots

Currently ItemResponsePlots supports low-level plotting recipes for

Item characteristic curves
Item information curves
Test characteristic / expected score curves
Test information curves

as well as high-level figures for

items (item characteristic curve + item information curve)
(sub)tests (expected scores + test information curve)