This package is meant for the graphical analysis of multiple choice test and questionnaire data within a nonparametric approach. Basically, it performs the fitting of item and options characteristic curves using kernel smoothing techniques and provides a variety of exploratory plots.
Details
Package:
KernSmoothIRT
Type:
Package
Version:
1.0
Date:
2011-05-29
Requires:
plotrix
License:
GPL-2
LazyLoad:
yes
The function ksIRT creates a ksIRT object using kernel smoothing.
Plotting the ksIRT object creates a variety of exploratory plots, including: item characteristic curves, option characteristic curves, density plots, expected value plots, and a probability simplex plot for the top 3 highest probability options of each item.
Author(s)
Angelo Mazza, Antonio Punzo, Brian McGuire
Maintainer: Brian McGuire <mcguirebc@gmail.com>
References
Mazza A, Punzo A, McGuire B. (2014).
KernSmoothIRT: An R Package for Kernel Smoothing in Item Response Theory.
Journal of Statistical Software, 58 6, 1-34. URL: http://www.jstatsoft.org/v58/i06/.