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Functionality for reliability estimates. For 'unidimensional' tests: Coefficient alpha, 'Guttman's' lambda-2/-4/-6, the Greatest lower bound and coefficient omega_u ('unidimensional') in a Bayesian and a frequentist version. For multidimensional tests: omega_t (total) and omega_h (hierarchical). The results include confidence and credible intervals, the probability of a coefficient being larger than a cutoff, and a check for the factor models, necessary for the omega coefficients. The method for the Bayesian 'unidimensional' estimates, except for omega_u, is sampling from the posterior inverse 'Wishart' for the covariance matrix based measures (see 'Murphy', 2007, <https://groups.seas.harvard.edu/courses/cs281/papers/murphy-2007.pdf>. The Bayesian omegas (u, t, and h) are obtained by 'Gibbs' sampling from the conditional posterior distributions of (1) the single factor model, (2) the second-order factor model, (3) the bi-factor model, (4) the correlated factor model ('Lee', 2007, <doi:10.1002/9780470024737>).
Version: | 0.7.7 |
Depends: | R (≥ 2.10) |
Imports: | LaplacesDemon, MASS, lavaan, coda, methods, stats, graphics, Rdpack, Rcpp (≥ 1.0.4.6) |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | knitr, rmarkdown, tinytest |
Published: | 2023-08-09 |
DOI: | 10.32614/CRAN.package.Bayesrel |
Author: | Julius M. Pfadt |
Maintainer: | Julius M. Pfadt <julius.pfadt at gmail.com> |
BugReports: | https://github.com/juliuspfadt/Bayesrel/issues |
License: | GPL-3 |
URL: | https://github.com/juliuspfadt/Bayesrel |
NeedsCompilation: | yes |
Materials: | README |
CRAN checks: | Bayesrel results |
Reference manual: | Bayesrel.pdf |
Package source: | Bayesrel_0.7.7.tar.gz |
Windows binaries: | r-devel: Bayesrel_0.7.7.zip, r-release: Bayesrel_0.7.7.zip, r-oldrel: Bayesrel_0.7.7.zip |
macOS binaries: | r-release (arm64): Bayesrel_0.7.7.tgz, r-oldrel (arm64): Bayesrel_0.7.7.tgz, r-release (x86_64): Bayesrel_0.7.7.tgz, r-oldrel (x86_64): Bayesrel_0.7.7.tgz |
Old sources: | Bayesrel 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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