Package: alphaci 1.0.1

Jonas Moss

alphaci: Confidence Intervals for Coefficient Alpha and Standardized Alpha

Calculate confidence intervals for alpha and standardized alpha using asymptotic theory or the studentized bootstrap, with or without transformations. Supports the asymptotic distribution-free method of Maydeu-Olivares, et al. (2007) <doi:10.1037/1082-989X.12.2.157>, the pseudo-elliptical method of Yuan & Bentler (2002) <doi:10.1007/BF02294845>, and the normal method of van Zyl et al. (1999) <doi:10.1007/BF02296146>, for both coefficient alpha and standardized alpha.

Authors:Jonas Moss [aut, cre]

alphaci_1.0.1.tar.gz
alphaci_1.0.1.zip(r-4.5)alphaci_1.0.1.zip(r-4.4)alphaci_1.0.1.zip(r-4.3)
alphaci_1.0.1.tgz(r-4.5-any)alphaci_1.0.1.tgz(r-4.4-any)alphaci_1.0.1.tgz(r-4.3-any)
alphaci_1.0.1.tar.gz(r-4.5-noble)alphaci_1.0.1.tar.gz(r-4.4-noble)
alphaci_1.0.1.tgz(r-4.4-emscripten)alphaci_1.0.1.tgz(r-4.3-emscripten)
alphaci.pdf |alphaci.html✨
alphaci/json (API)

# Install 'alphaci' in R:

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

Bug tracker:https://github.com/jonasmoss/alphaci/issues

Pkgdown site:https://jonasmoss.github.io

On CRAN:

4.00 score 1 scripts 283 downloads 2 exports 8 dependencies

Last updated 1 years agofrom:5da4b8369e. Checks:6 OK, 3 NOTE. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 19 2025
R-4.5-win	NOTE	Mar 19 2025
R-4.5-mac	NOTE	Mar 19 2025
R-4.5-linux	NOTE	Mar 19 2025
R-4.4-win	OK	Mar 19 2025
R-4.4-mac	OK	Mar 19 2025
R-4.4-linux	OK	Mar 19 2025
R-4.3-win	OK	Mar 19 2025
R-4.3-mac	OK	Mar 19 2025