Package: KernSmoothIRT
Type: Package
Title: Nonparametric Item Response Theory
Version: 6.6
Date: 2026-07-22
Authors@R: c(
    person(given = "Angelo", family = "Mazza", role = "aut"),
    person(given = "Antonio", family = "Punzo", role = "aut"),
    person(given = "Brian", family = "McGuire",
           email = "mcguirebc@gmail.com", role = c("aut", "cre"))
    )
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
NeedsCompilation: yes
Packaged: 2026-07-22 23:50:29 UTC; brianmcguire
Author: Angelo Mazza [aut],
  Antonio Punzo [aut],
  Brian McGuire [aut, cre]
Maintainer: Brian McGuire <mcguirebc@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-23 02:10:02 UTC
Built: R 4.5.2; x86_64-apple-darwin20; 2026-07-23 03:54:44 UTC; unix
Archs: KernSmoothIRT.so.dSYM
