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intrinsicKappa: Sample Size Planning Based on Intrinsic Kappa Value

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>.

Version: 0.1
Depends: R (≥ 4.2.0)
Imports: stats
Suggests: knitr, rmarkdown, utils
Published: 2023-06-01
Author: David Schindler [aut, cre], Rafael Sanchez-Marquez [aut], Frank Gerhorst [aut]
Maintainer: David Schindler <dv.schindler at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
Citation: intrinsicKappa citation info
CRAN checks: intrinsicKappa results

Documentation:

Reference manual: intrinsicKappa.pdf
Vignettes: Get started with intrinsicKappa

Downloads:

Package source: intrinsicKappa_0.1.tar.gz
Windows binaries: r-devel: intrinsicKappa_0.1.zip, r-release: intrinsicKappa_0.1.zip, r-oldrel: intrinsicKappa_0.1.zip
macOS binaries: r-release (arm64): intrinsicKappa_0.1.tgz, r-oldrel (arm64): intrinsicKappa_0.1.tgz, r-release (x86_64): intrinsicKappa_0.1.tgz, r-oldrel (x86_64): intrinsicKappa_0.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=intrinsicKappa to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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