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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "KernSmoothIRT" in publications use:'
type: software
license: GPL-2.0-only
title: 'KernSmoothIRT: Nonparametric Item Response Theory'
version: '6.6'
identifiers:
- type: doi
  value: 10.32614/CRAN.package.KernSmoothIRT
abstract: 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.
authors:
- family-names: Mazza
  given-names: Angelo
- family-names: Punzo
  given-names: Antonio
- family-names: McGuire
  given-names: Brian
  email: mcguirebc@gmail.com
preferred-citation:
  type: article
  title: 'KernSmoothIRT: An R Package for Kernel Smoothing in Item Response Theory'
  authors:
  - family-names: Mazza
    given-names: Angelo
  - family-names: Punzo
    given-names: Antonio
  - family-names: McGuire
    given-names: Brian
    email: mcguirebc@gmail.com
  journal: Journal of Statistical Software
  year: '2014'
  volume: '58'
  issue: '6'
  url: https://www.jstatsoft.org/v58/i06/
  start: '1'
  end: '34'
repository: https://cran.r-universe.dev
commit: b73256d9f05121624ea5f9a37e5b5458c74cd799
date-released: '2026-07-22'
contact:
- family-names: McGuire
  given-names: Brian
  email: mcguirebc@gmail.com