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.

Version:	1.0.1
Depends:	R (≥ 3.5.0)
Imports:	future.apply, matrixcalc
Suggests:	covr, extraDistr, knitr, lavaan, psychTools, rmarkdown, testthat (≥ 3.0.0)
Published:	2024-02-05
Author:	Jonas Moss [aut, cre]
Maintainer:	Jonas Moss <jonas.moss.statistics at gmail.com>
License:	MIT + file LICENSE
URL:	https://jonasmoss.github.io/alphaci/
NeedsCompilation:	no
Materials:	README
CRAN checks:	alphaci results

Documentation:

Reference manual:	alphaci.pdf
Vignettes:	Simulation of confidence intervals. Verifying the variances.

Downloads:

Package source:	alphaci_1.0.1.tar.gz
Windows binaries:	r-devel: alphaci_1.0.1.zip, r-release: alphaci_1.0.1.zip, r-oldrel: alphaci_1.0.1.zip
macOS binaries:	r-release (arm64): alphaci_1.0.1.tgz, r-oldrel (arm64): alphaci_1.0.1.tgz, r-release (x86_64): alphaci_1.0.1.tgz, r-oldrel (x86_64): alphaci_1.0.1.tgz
Old sources:	alphaci archive

Linking:

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