# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "intrinsicKappa" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'intrinsicKappa: Sample Size Planning Based on Intrinsic Kappa Value'
version: '0.1'
doi: 10.1016/j.cie.2023.109006
identifiers:
- type: doi
  value: 10.32614/CRAN.package.intrinsicKappa
abstract: 'Kappa statistics is one of the most used methods to evaluate the effectiveness
  of inpsections based on attribute assessments in industry. However, its estimation
  by available methods does not provide its "real" or "intrinstic" value. This package
  provides functions for the computation of the intrinsic kappa value as it is described
  in: Rafael Sanchez-Marquez, Frank Gerhorst and David Schindler (2023) "Effectiveness
  of quality inspections of attributive characteristics – A novel and practical method
  for estimating the “intrinsic” value of kappa based on alpha and beta statistics."
  <https://doi.org/10.1016/j.cie.2023.109006>.'
authors:
- family-names: Schindler
  given-names: David
  email: dv.schindler@gmail.com
- family-names: Sanchez-Marquez
  given-names: Rafael
- family-names: Gerhorst
  given-names: Frank
preferred-citation:
  type: article
  title: Effectiveness of quality inspections of attributive characteristics – A novel
    and practical method for estimating the “intrinsic” value of kappa based on alpha
    and beta statistics
  authors:
  - family-names: Sanchez-Marquez
    given-names: Rafael
    email: rsanch18@ford.com
  - family-names: Gerhorst
    given-names: Frank
  - family-names: Schindler
    given-names: David
    email: dv.schindler@gmail.com
  journal: Computers & Industrial Engineering
  year: '2023'
  volume: '176'
  doi: 10.1016/j.cie.2023.109006
  start: '109006'
repository: https://CRAN.R-project.org/package=intrinsicKappa
date-released: '2023-06-01'
contact:
- family-names: Schindler
  given-names: David
  email: dv.schindler@gmail.com