KernSmoothIRT: Nonparametric Item Response Theory

This package fits nonparametric item and option characteristic curves using kernel smoothing. It allows for optimal selection of the smoothing bandwidth using cross-validation and a variety of exploratory plotting tools.

Version: 6.1
Imports: Rcpp, plotrix, rgl
LinkingTo: Rcpp
Published: 2014-06-17
Author: Angelo Mazza, Antonio Punzo, Brian McGuire
Maintainer: Brian McGuire <mcguirebc at gmail.com>
License: GPL-2
NeedsCompilation: yes
Citation: KernSmoothIRT citation info
In views: Psychometrics
CRAN checks: KernSmoothIRT results

Downloads:

Reference manual: KernSmoothIRT.pdf
Package source: KernSmoothIRT_6.1.tar.gz
Windows binaries: r-devel: KernSmoothIRT_6.1.zip, r-release: KernSmoothIRT_6.1.zip, r-oldrel: KernSmoothIRT_6.1.zip
OS X Snow Leopard binaries: r-release: KernSmoothIRT_6.1.tgz, r-oldrel: KernSmoothIRT_6.1.tgz
OS X Mavericks binaries: r-release: KernSmoothIRT_6.1.tgz
Old sources: KernSmoothIRT archive