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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 |
DOI: | 10.32614/CRAN.package.alphaci |
Author: | Jonas Moss |
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 |
Reference manual: | alphaci.pdf |
Vignettes: |
Simulation of confidence intervals. Verifying the variances. |
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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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