Package: intrinsicKappa 0.1
David Schindler
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>.
Authors:
intrinsicKappa_0.1.tar.gz
intrinsicKappa_0.1.tar.gz(r-4.5-noble)intrinsicKappa_0.1.tar.gz(r-4.4-noble)
intrinsicKappa_0.1.tgz(r-4.4-emscripten)intrinsicKappa_0.1.tgz(r-4.3-emscripten)
intrinsicKappa.pdf |intrinsicKappa.html✨
intrinsicKappa/json (API)
| # Install 'intrinsicKappa' in R: |
| install.packages('intrinsicKappa', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:7744a4e267. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 11 2024 |
| R-4.5-linux | OK | Nov 11 2024 |
Exports:intrinsicKappa
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Sample Size Planning Based on Intrinsic Kappa Value | intrinsicKappa-package |
| Compute Statistics | computeStat |
| Intrinsic Kappa | intrinsicKappa |