Package: Bayesrel Type: Package Title: Bayesian Reliability Estimation Version: 0.8.0 Date: 2026-09-23 Authors@R: c(person("Julius M.", "Pfadt", email = "julius.pfadt@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-0758-5502")), person("Don", "van den Bergh", role = c("aut"), comment = c(ORCID = "0000-0002-9838-7308")), person("Joris", "Goosen", role = c("aut")) ) Description: 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, ). 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, ). URL: https://github.com/juliuspfadt/Bayesrel BugReports: https://github.com/juliuspfadt/Bayesrel/issues License: GPL-3 Encoding: UTF-8 LazyData: true Imports: LaplacesDemon, MASS, lavaan, coda, methods, stats, graphics, Rdpack, Rcpp (>= 1.0.4.6), psych LinkingTo: Rcpp, RcppArmadillo RdMacros: Rdpack Depends: R (>= 2.10) Suggests: tinytest RoxygenNote: 7.3.3 Repository: https://juliuspfadt.r-universe.dev Date/Publication: 2026-09-23 16:08:43 UTC RemoteUrl: https://github.com/juliuspfadt/bayesrel RemoteRef: HEAD RemoteSha: 86ef0813b22c379c40df6c27945aff3bd3d552a6 NeedsCompilation: yes Packaged: 2026-09-23 17:19:42 UTC; root Author: Julius M. Pfadt [aut, cre] (ORCID: ), Don van den Bergh [aut] (ORCID: ), Joris Goosen [aut] Maintainer: Julius M. Pfadt