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>).

Getting started

Package details

AuthorJulius M. Pfadt [aut, cre] (<https://orcid.org/0000-0002-0758-5502>), Don van den Bergh [aut] (<https://orcid.org/0000-0002-9838-7308>), Joris Goosen [aut]
MaintainerJulius M. Pfadt <julius.pfadt@gmail.com>
LicenseGPL-3
Version0.7.7
URL https://github.com/juliuspfadt/Bayesrel
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("Bayesrel")

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Bayesrel documentation built on Aug. 9, 2023, 5:09 p.m.