{ "_id": "6ab40bb23d719c1f84093e91", "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\",\nrole = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-0758-5502\")),\nperson(\"Don\", \"van den Bergh\",\nrole = c(\"aut\"), comment = c(ORCID = \"0000-0002-9838-7308\")),\nperson(\"Joris\", \"Goosen\",\nrole = c(\"aut\"))\n)", "Description": "Functionality for reliability estimates. For\n'unidimensional' tests: Coefficient alpha, 'Guttman's'\nlambda-2/-4/-6, the Greatest lower bound and coefficient\nomega_u ('unidimensional') in a Bayesian and a frequentist\nversion. For multidimensional tests: omega_t (total) and\nomega_h (hierarchical). The results include confidence and\ncredible intervals, the probability of a coefficient being\nlarger than a cutoff, and a check for the factor models,\nnecessary for the omega coefficients. The method for the\nBayesian 'unidimensional' estimates, except for omega_u, is\nsampling from the posterior inverse 'Wishart' for the\ncovariance matrix based measures (see 'Murphy', 2007,\n).\nThe Bayesian omegas (u, t, and h) are obtained by 'Gibbs'\nsampling from the conditional posterior distributions of (1)\nthe single factor model, (2) the second-order factor model, (3)\nthe bi-factor model, (4) the correlated factor model ('Lee',\n2007, ).", "URL": "https://github.com/juliuspfadt/Bayesrel", "BugReports": "https://github.com/juliuspfadt/Bayesrel/issues", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "RdMacros": "Rdpack", "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": { "Date": "2026-09-23 17:19:42 UTC", "User": "root" }, "Author": "Julius M. 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