Package: intrinsicKappa
Title: Sample Size Planning Based on Intrinsic Kappa Value
Version: 0.1
Authors@R: 
  c(person(given = "David",
           family = "Schindler",
           role = c("aut", "cre"),
           email = "dv.schindler@gmail.com"),
    person(given = "Rafael",
           family = "Sanchez-Marquez",
           role = "aut"),
    person(given = "Frank",
           family = "Gerhorst",
           role = "aut"))
Maintainer: David Schindler <dv.schindler@gmail.com>
Description: 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." <doi:10.1016/j.cie.2023.109006>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: stats
Suggests: knitr, rmarkdown, utils
VignetteBuilder: knitr
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2023-06-01 11:13:06 UTC; DSCHIND2
Author: David Schindler [aut, cre],
  Rafael Sanchez-Marquez [aut],
  Frank Gerhorst [aut]
Repository: CRAN
Date/Publication: 2023-06-01 12:50:07 UTC
Built: R 4.6.0; ; 2026-04-26 20:21:42 UTC; unix
