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Bayesrel: Bayesian Reliability Estimation

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:0.7.8
Depends:R (≥ 2.10)
Imports:LaplacesDemon,MASS,lavaan,coda, methods, stats, graphics,Rdpack,Rcpp (≥ 1.0.4.6),psych
LinkingTo:Rcpp,RcppArmadillo
Suggests:knitr,rmarkdown,tinytest
Published:2025-03-24
DOI:10.32614/CRAN.package.Bayesrel
Author:Julius M. PfadtORCID iD [aut, cre], Don van den BerghORCID iD [aut], Joris Goosen [aut]
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

Documentation:

Reference manual:Bayesrel.html ,Bayesrel.pdf

Downloads:

Package source: Bayesrel_0.7.8.tar.gz
Windows binaries: r-devel:Bayesrel_0.7.8.zip, r-release:Bayesrel_0.7.8.zip, r-oldrel:Bayesrel_0.7.8.zip
macOS binaries: r-release (arm64):Bayesrel_0.7.8.tgz, r-oldrel (arm64):Bayesrel_0.7.8.tgz, r-release (x86_64):Bayesrel_0.7.8.tgz, r-oldrel (x86_64):Bayesrel_0.7.8.tgz
Old sources: Bayesrel archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=Bayesrelto link to this page.


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