Package: KernSmoothIRT
Type: Package
Title: Nonparametric Item Response Theory
Version: 6.4
Date: 2020-02-11
Author: Angelo Mazza, Antonio Punzo, Brian McGuire
Maintainer: Brian McGuire <mcguirebc@gmail.com>
Description: 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. The kernel smoothing is based on methods described in Silverman, B.W. (1986). Density Estimation for Statistics and Data Analysis. Chapman & Hall, London.
License: GPL-2
LazyLoad: yes
Imports: Rcpp, plotrix, rgl, methods
LinkingTo: Rcpp
Packaged: 2020-02-17 03:13:28 UTC; BrianMcGuire
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2020-02-17 09:20:05 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-29 04:15:10 UTC; unix
Archs: KernSmoothIRT.so.dSYM
