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intrinsicKappa  

Sample Size Planning Based on Intrinsic Kappa Value
View on CRAN: Click here


Download and install intrinsicKappa package within the R console
Install from CRAN:
install.packages("intrinsicKappa")

Install from Github:
library("remotes")
install_github("cran/intrinsicKappa")

Install by package version:
library("remotes")
install_version("intrinsicKappa", "0.1")



Attach the package and use:
library("intrinsicKappa")
Maintained by
David Schindler
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-01
Latest Update: 2023-06-01
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
How to cite:
David Schindler (2023). intrinsicKappa: Sample Size Planning Based on Intrinsic Kappa Value. R package version 0.1, https://cran.r-project.org/web/packages/intrinsicKappa. Accessed 09 Jun. 2026.
Previous versions and publish date:
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Complete documentation for intrinsicKappa
Functions, R codes and Examples using the intrinsicKappa R package
Some associated functions: computeStat . intrinsicKappa-package . intrinsicKappa . 
Some associated R codes: intrinsicKappa.R . packageDescription.R .  Full intrinsicKappa package functions and examples
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