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
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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 297 downloads 2 exports 8 dependencies

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

TargetResultLatest binary
Doc / VignettesOKFeb 17 2025
R-4.5-winNOTEFeb 17 2025
R-4.5-macNOTEFeb 17 2025
R-4.5-linuxNOTEFeb 17 2025
R-4.4-winOKFeb 17 2025
R-4.4-macOKFeb 17 2025
R-4.3-winOKFeb 17 2025
R-4.3-macOKFeb 17 2025

Exports:alphacialphaci_std

Dependencies:codetoolsdigestfuturefuture.applyglobalslistenvmatrixcalcparallelly

Simulation of confidence intervals.

Rendered fromsimulations.Rmdusingknitr::rmarkdownon Feb 17 2025.

Last update: 2022-10-08
Started: 2022-10-03

Verifying the variances.

Rendered fromverification.rmdusingknitr::rmarkdownon Feb 17 2025.

Last update: 2022-10-05
Started: 2022-10-05