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:
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-4.4-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
Last updated 10 months agofrom:39448802a6. Checks:OK: 5 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 01 2024 |
| R-4.5-win | NOTE | Nov 01 2024 |
| R-4.5-linux | NOTE | Nov 01 2024 |
| R-4.4-win | OK | Nov 01 2024 |
| R-4.4-mac | OK | Nov 01 2024 |
| R-4.3-win | OK | Nov 01 2024 |
| R-4.3-mac | OK | Nov 01 2024 |
Exports:alphacialphaci_std
Dependencies:codetoolsdigestfuturefuture.applyglobalslistenvmatrixcalcparallelly
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Confidence intervals for alpha and standardized alpha | alphaci alphaci_std |