Package: intrinsicKappa 0.1

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:David Schindler [aut, cre], Rafael Sanchez-Marquez [aut], Frank Gerhorst [aut]

intrinsicKappa_0.1.tar.gz
intrinsicKappa_0.1.zip(r-4.7-any)intrinsicKappa_0.1.zip(r-4.6-any)intrinsicKappa_0.1.zip(r-4.5-any)
intrinsicKappa_0.1.tgz(r-4.6-any)intrinsicKappa_0.1.tgz(r-4.5-any)
intrinsicKappa_0.1.tar.gz(r-4.7-any)intrinsicKappa_0.1.tar.gz(r-4.6-any)
intrinsicKappa_0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
intrinsicKappa/json (API)

# Install 'intrinsicKappa' in R:

install.packages('intrinsicKappa', repos = c('https://dschindler.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 3 scripts 230 downloads 1 exports 0 dependencies

Last updated from:7744a4e267. Checks:2 NOTE, 7 OK. Indexed: yes.

Target	Result	Time
linux-devel	NOTE	103
source / vignettes	OK	162
linux-release	OK	102
macos-release	OK	200
macos-oldrel	OK	173
windows-devel	NOTE	57
windows-release	OK	60
windows-oldrel	OK	72
wasm-release	OK	84